DaveM@34: save('AdobeAllResults.mat') DaveM@34: analysisWorkflow DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8976 DaveM@34: DaveM@34: Row: 8976, pDepth = 2, loss = 0.002673 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_mean<0.0357145 then node 2 elseif first_peak_weight_mean>=0.0357145 then node 3 else 8975 DaveM@34: 2 class = 8974 DaveM@34: 3 class = 8975 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8974 DaveM@34: DaveM@34: Row: 8974, pDepth = 20, loss = 0.079383 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_mean<0.495098 then node 2 elseif silence_rate_60dB_mean>=0.495098 then node 3 else 8966 DaveM@34: 2 class = 8963 DaveM@34: 3 class = 8966 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8975 DaveM@34: DaveM@34: Row: 8975, pDepth = 37, loss = 0.153664 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_mean<0.47305 then node 2 elseif silence_rate_60dB_mean>=0.47305 then node 3 else 8972 DaveM@34: 2 class = 8973 DaveM@34: 3 class = 8972 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8963 DaveM@34: DaveM@34: Row: 8963, pDepth = 11, loss = 0.102637 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_decrease_mean<0.866593 then node 2 elseif spectral_decrease_mean>=0.866593 then node 3 else 8959 DaveM@34: 2 class = 8930 DaveM@34: 3 class = 8959 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8966 DaveM@34: DaveM@34: Row: 8966, pDepth = 16, loss = 0.129073 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_max<0.413299 then node 2 elseif spectral_centroid_max>=0.413299 then node 3 else 8956 DaveM@34: 2 class = 8928 DaveM@34: 3 class = 8956 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8972 DaveM@34: DaveM@34: Row: 8972, pDepth = 15, loss = 0.112521 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_bpm_max<0.262195 then node 2 elseif second_peak_bpm_max>=0.262195 then node 3 else 8971 DaveM@34: 2 class = 8971 DaveM@34: 3 class = 8969 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8973 DaveM@34: DaveM@34: Row: 8973, pDepth = 16, loss = 0.152279 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_weight_min<0.0616035 then node 2 elseif second_peak_weight_min>=0.0616035 then node 3 else 8970 DaveM@34: 2 class = 8970 DaveM@34: 3 class = 8967 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8930 DaveM@34: DaveM@34: Row: 8930, pDepth = 3, loss = 0.135417 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_3<0.509141 then node 2 elseif scvalleys_min_3>=0.509141 then node 3 else 8879 DaveM@34: 2 class = 8879 DaveM@34: 3 class = 8863 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8959 DaveM@34: DaveM@34: Row: 8959, pDepth = 11, loss = 0.145977 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_mean<0.271369 then node 2 elseif spectral_flatness_db_mean>=0.271369 then node 3 else 8953 DaveM@34: 2 class = 8953 DaveM@34: 3 class = 8934 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8928 DaveM@34: DaveM@34: Row: 8928, pDepth = 8, loss = 0.099029 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_dmean2<0.017544 then node 2 elseif silence_rate_30dB_dmean2>=0.017544 then node 3 else 8904 DaveM@34: 2 class = 8904 DaveM@34: 3 class = 8903 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8956 DaveM@34: DaveM@34: Row: 8956, pDepth = 12, loss = 0.124884 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_1<0.520562 then node 2 elseif gfcc_median_1>=0.520562 then node 3 else 8950 DaveM@34: 2 if beats_loudness_band_ratio_mean_5<0.541448 then node 4 elseif beats_loudness_band_ratio_mean_5>=0.541448 then node 5 else 8923 DaveM@34: 3 class = 8950 DaveM@34: 4 class = 8923 DaveM@34: 5 class = 8950 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8969 DaveM@34: DaveM@34: Row: 8969, pDepth = 18, loss = 0.185809 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energy_var<0.0002945 then node 2 elseif spectral_energy_var>=0.0002945 then node 3 else 8960 DaveM@34: 2 if second_peak_bpm_min<0.593496 then node 4 elseif second_peak_bpm_min>=0.593496 then node 5 else 8949 DaveM@34: 3 if second_peak_bpm_min<0.310976 then node 6 elseif second_peak_bpm_min>=0.310976 then node 7 else 8960 DaveM@34: 4 class = 8949 DaveM@34: 5 if spectral_energy_var<1.5e-06 then node 8 elseif spectral_energy_var>=1.5e-06 then node 9 else 8949 DaveM@34: 6 class = 8949 DaveM@34: 7 class = 8960 DaveM@34: 8 class = 8949 DaveM@34: 9 if spectral_decrease_mean<0.900607 then node 10 elseif spectral_decrease_mean>=0.900607 then node 11 else 8960 DaveM@34: 10 if strongdecay<0.0611825 then node 12 elseif strongdecay>=0.0611825 then node 13 else 8960 DaveM@34: 11 class = 8949 DaveM@34: 12 class = 8960 DaveM@34: 13 if spectral_decrease_var<3.5e-05 then node 14 elseif spectral_decrease_var>=3.5e-05 then node 15 else 8949 DaveM@34: 14 if spectral_decrease_mean<0.900432 then node 16 elseif spectral_decrease_mean>=0.900432 then node 17 else 8949 DaveM@34: 15 class = 8960 DaveM@34: 16 class = 8949 DaveM@34: 17 class = 8960 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8971 DaveM@34: DaveM@34: Row: 8971, pDepth = 23, loss = 0.178851 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_max<0.894445 then node 2 elseif first_peak_weight_max>=0.894445 then node 3 else 8965 DaveM@34: 2 if beats_loudness_band_ratio_max_5<0.671258 then node 4 elseif beats_loudness_band_ratio_max_5>=0.671258 then node 5 else 8962 DaveM@34: 3 class = 8965 DaveM@34: 4 class = 8962 DaveM@34: 5 class = 8965 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8967 DaveM@34: DaveM@34: Row: 8967, pDepth = 4, loss = 0.037081 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_spread_mean<0.015563 then node 2 elseif spectral_spread_mean>=0.015563 then node 3 else 8961 DaveM@34: 2 class = 8964 DaveM@34: 3 class = 8961 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8970 DaveM@34: DaveM@34: Row: 8970, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_spread_mean<0.015563 then node 2 elseif spectral_spread_mean>=0.015563 then node 3 else 8961 DaveM@34: 2 class = 8964 DaveM@34: 3 class = 8961 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8863 DaveM@34: DaveM@34: Row: 8863, pDepth = 3, loss = 0.087912 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dmean_5<0.243998 then node 2 elseif mfcc_dmean_5>=0.243998 then node 3 else 8745 DaveM@34: 2 class = 8745 DaveM@34: 3 class = 8722 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8879 DaveM@34: DaveM@34: Row: 8879, pDepth = 1, loss = 0.089109 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_middle_high_mean<0.0070985 then node 2 elseif spectral_energyband_middle_high_mean>=0.0070985 then node 3 else 8841 DaveM@34: 2 class = 8693 DaveM@34: 3 class = 8841 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8934 DaveM@34: DaveM@34: Row: 8934, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_middle_high_mean<0.0070985 then node 2 elseif spectral_energyband_middle_high_mean>=0.0070985 then node 3 else 8841 DaveM@34: 2 class = 8693 DaveM@34: 3 class = 8841 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8953 DaveM@34: DaveM@34: Row: 8953, pDepth = 12, loss = 0.169591 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_mean<0.103532 then node 2 elseif pitch_mean>=0.103532 then node 3 else 8939 DaveM@34: 2 class = 8939 DaveM@34: 3 class = 8943 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8903 DaveM@34: DaveM@34: Row: 8903, pDepth = 2, loss = 0.065089 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_mean_0<0.660545 then node 2 elseif scvalleys_mean_0>=0.660545 then node 3 else 8812 DaveM@34: 2 class = 8735 DaveM@34: 3 class = 8812 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8904 DaveM@34: DaveM@34: Row: 8904, pDepth = 5, loss = 0.127168 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_4<5e-07 then node 2 elseif beats_loudness_band_ratio_max_4>=5e-07 then node 3 else 8854 DaveM@34: 2 class = 8815 DaveM@34: 3 class = 8854 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8923 DaveM@34: DaveM@34: Row: 8923, pDepth = 7, loss = 0.188679 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_1<0.15129 then node 2 elseif gfcc_dmean_1>=0.15129 then node 3 else 8898 DaveM@34: 2 if beats_loudness_band_ratio_max_0<0.73234 then node 4 elseif beats_loudness_band_ratio_max_0>=0.73234 then node 5 else 8901 DaveM@34: 3 class = 8898 DaveM@34: 4 class = 8901 DaveM@34: 5 class = 8898 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8950 DaveM@34: DaveM@34: Row: 8950, pDepth = 6, loss = 0.056291 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.258765 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.258765 then node 3 else 8922 DaveM@34: 2 class = 8922 DaveM@34: 3 class = 8909 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8949 DaveM@34: DaveM@34: Row: 8949, pDepth = 11, loss = 0.166455 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.414874 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.414874 then node 3 else 8948 DaveM@34: 2 class = 8948 DaveM@34: 3 class = 8926 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8960 DaveM@34: DaveM@34: Row: 8960, pDepth = 17, loss = 0.197952 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_der_before_max_min<0.397496 then node 2 elseif max_der_before_max_min>=0.397496 then node 3 else 8947 DaveM@34: 2 class = 8944 DaveM@34: 3 class = 8947 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8962 DaveM@34: DaveM@34: Row: 8962, pDepth = 11, loss = 0.144491 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_skewness_median<0.0668925 then node 2 elseif spectral_skewness_median>=0.0668925 then node 3 else 8958 DaveM@34: 2 class = 8958 DaveM@34: 3 class = 8931 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8965 DaveM@34: DaveM@34: Row: 8965, pDepth = 18, loss = 0.195359 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_mean_0<0.684385 then node 2 elseif scvalleys_mean_0>=0.684385 then node 3 else 8957 DaveM@34: 2 if scvalleys_min_2<0.395652 then node 4 elseif scvalleys_min_2>=0.395652 then node 5 else 8937 DaveM@34: 3 class = 8957 DaveM@34: 4 class = 8937 DaveM@34: 5 class = 8957 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8961 DaveM@34: DaveM@34: Row: 8961, pDepth = 3, loss = 0.022222 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if strongdecay<0.077154 then node 2 elseif strongdecay>=0.077154 then node 3 else 8952 DaveM@34: 2 class = 8885 DaveM@34: 3 class = 8952 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8964 DaveM@34: DaveM@34: Row: 8964, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if strongdecay<0.077154 then node 2 elseif strongdecay>=0.077154 then node 3 else 8952 DaveM@34: 2 class = 8885 DaveM@34: 3 class = 8952 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8942 DaveM@34: DaveM@34: Row: 8942, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if strongdecay<0.077154 then node 2 elseif strongdecay>=0.077154 then node 3 else 8952 DaveM@34: 2 class = 8885 DaveM@34: 3 class = 8952 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8968 DaveM@34: DaveM@34: Row: 8968, pDepth = 14, loss = 0.165846 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_min_2<0.387343 then node 2 elseif gfcc_min_2>=0.387343 then node 3 else 8954 DaveM@34: 2 class = 8951 DaveM@34: 3 class = 8954 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8722 DaveM@34: DaveM@34: Row: 8722, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_min_2<0.387343 then node 2 elseif gfcc_min_2>=0.387343 then node 3 else 8954 DaveM@34: 2 class = 8951 DaveM@34: 3 class = 8954 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8745 DaveM@34: DaveM@34: Row: 8745, pDepth = 1, loss = 0.057971 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_high_max<0.193083 then node 2 elseif spectral_energyband_high_max>=0.193083 then node 3 else 8670 DaveM@34: 2 class = 8670 DaveM@34: 3 class = 8018 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8693 DaveM@34: DaveM@34: Row: 8693, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_high_max<0.193083 then node 2 elseif spectral_energyband_high_max>=0.193083 then node 3 else 8670 DaveM@34: 2 class = 8670 DaveM@34: 3 class = 8018 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8841 DaveM@34: DaveM@34: Row: 8841, pDepth = 2, loss = 0.181818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_dmean2<0.091876 then node 2 elseif zerocrossingrate_dmean2>=0.091876 then node 3 else 8771 DaveM@34: 2 class = 8771 DaveM@34: 3 if erb_bands_max_4<0.009823 then node 4 elseif erb_bands_max_4>=0.009823 then node 5 else 8771 DaveM@34: 4 class = 8794 DaveM@34: 5 class = 8771 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7760 DaveM@34: DaveM@34: Row: 7760, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_dmean2<0.091876 then node 2 elseif zerocrossingrate_dmean2>=0.091876 then node 3 else 8771 DaveM@34: 2 class = 8771 DaveM@34: 3 if erb_bands_max_4<0.009823 then node 4 elseif erb_bands_max_4>=0.009823 then node 5 else 8771 DaveM@34: 4 class = 8794 DaveM@34: 5 class = 8771 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8913 DaveM@34: DaveM@34: Row: 8913, pDepth = 3, loss = 0.068966 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_middle_low_median<0.0083265 then node 2 elseif spectral_energyband_middle_low_median>=0.0083265 then node 3 else 8875 DaveM@34: 2 class = 8875 DaveM@34: 3 class = 8774 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8939 DaveM@34: DaveM@34: Row: 8939, pDepth = 5, loss = 0.118834 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_4<0.0737265 then node 2 elseif scvalleys_min_4>=0.0737265 then node 3 else 8925 DaveM@34: 2 class = 8804 DaveM@34: 3 class = 8925 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8943 DaveM@34: DaveM@34: Row: 8943, pDepth = 3, loss = 0.105042 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_dvar_5<0.231631 then node 2 elseif spectral_contrast_dvar_5>=0.231631 then node 3 else 8906 DaveM@34: 2 class = 8906 DaveM@34: 3 class = 8911 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8735 DaveM@34: DaveM@34: Row: 8735, pDepth = 1, loss = 0.051282 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.0605425 then node 2 elseif inharmonicity_mean>=0.0605425 then node 3 else 8380 DaveM@34: 2 class = 8171 DaveM@34: 3 class = 8380 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8812 DaveM@34: DaveM@34: Row: 8812, pDepth = 2, loss = 0.092308 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_5<0.0128005 then node 2 elseif beats_loudness_band_ratio_max_5>=0.0128005 then node 3 else 8759 DaveM@34: 2 class = 8494 DaveM@34: 3 class = 8759 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8815 DaveM@34: DaveM@34: Row: 8815, pDepth = 3, loss = 0.137255 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_mean_2<0.715351 then node 2 elseif scvalleys_mean_2>=0.715351 then node 3 else 8697 DaveM@34: 2 class = 8697 DaveM@34: 3 class = 8302 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8854 DaveM@34: DaveM@34: Row: 8854, pDepth = 2, loss = 0.186528 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dvar_3<0.0380355 then node 2 elseif scvalleys_dvar_3>=0.0380355 then node 3 else 8765 DaveM@34: 2 if pitch_dmean2<0.0069445 then node 4 elseif pitch_dmean2>=0.0069445 then node 5 else 8765 DaveM@34: 3 if barkbands_dvar2_16<5e-07 then node 6 elseif barkbands_dvar2_16>=5e-07 then node 7 else 8734 DaveM@34: 4 class = 8734 DaveM@34: 5 if pitch_dmean2<0.10212 then node 8 elseif pitch_dmean2>=0.10212 then node 9 else 8765 DaveM@34: 6 if pitch_dmean2<0.133033 then node 10 elseif pitch_dmean2>=0.133033 then node 11 else 8765 DaveM@34: 7 if erb_bands_var_14<5e-07 then node 12 elseif erb_bands_var_14>=5e-07 then node 13 else 8734 DaveM@34: 8 class = 8765 DaveM@34: 9 if scvalleys_dvar_3<0.021109 then node 14 elseif scvalleys_dvar_3>=0.021109 then node 15 else 8734 DaveM@34: 10 if pitch_dmean2<0.0082305 then node 16 elseif pitch_dmean2>=0.0082305 then node 17 else 8765 DaveM@34: 11 class = 8734 DaveM@34: 12 class = 8734 DaveM@34: 13 if erb_bands_var_14<1.4e-05 then node 18 elseif erb_bands_var_14>=1.4e-05 then node 19 else 8734 DaveM@34: 14 class = 8734 DaveM@34: 15 class = 8765 DaveM@34: 16 class = 8734 DaveM@34: 17 class = 8765 DaveM@34: 18 if scvalleys_dvar_3<0.0476555 then node 20 elseif scvalleys_dvar_3>=0.0476555 then node 21 else 8765 DaveM@34: 19 class = 8734 DaveM@34: 20 class = 8765 DaveM@34: 21 class = 8734 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8898 DaveM@34: DaveM@34: Row: 8898, pDepth = 4, loss = 0.075099 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_dmean_18<0.0001645 then node 2 elseif barkbands_dmean_18>=0.0001645 then node 3 else 8886 DaveM@34: 2 if barkbands_dmean_15<1.15e-05 then node 4 elseif barkbands_dmean_15>=1.15e-05 then node 5 else 8362 DaveM@34: 3 class = 8886 DaveM@34: 4 class = 8886 DaveM@34: 5 class = 8362 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8901 DaveM@34: DaveM@34: Row: 8901, pDepth = 4, loss = 0.058036 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_median_0<0.0025435 then node 2 elseif tristimulus_median_0>=0.0025435 then node 3 else 8860 DaveM@34: 2 class = 8831 DaveM@34: 3 class = 8860 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8909 DaveM@34: DaveM@34: Row: 8909, pDepth = 5, loss = 0.141509 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_var<0.0237885 then node 2 elseif zerocrossingrate_var>=0.0237885 then node 3 else 8783 DaveM@34: 2 class = 8741 DaveM@34: 3 class = 8783 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8922 DaveM@34: DaveM@34: Row: 8922, pDepth = 6, loss = 0.145408 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_mean<0.974647 then node 2 elseif silence_rate_30dB_mean>=0.974647 then node 3 else 8880 DaveM@34: 2 class = 8858 DaveM@34: 3 class = 8880 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8926 DaveM@34: DaveM@34: Row: 8926, pDepth = 4, loss = 0.105263 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_spread_dvar2<0.152478 then node 2 elseif spectral_spread_dvar2>=0.152478 then node 3 else 8897 DaveM@34: 2 class = 8897 DaveM@34: 3 class = 8881 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8948 DaveM@34: DaveM@34: Row: 8948, pDepth = 5, loss = 0.164360 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.099624 then node 2 elseif first_peak_spread_max>=0.099624 then node 3 else 8933 DaveM@34: 2 class = 8895 DaveM@34: 3 class = 8933 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8944 DaveM@34: DaveM@34: Row: 8944, pDepth = 10, loss = 0.182203 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_decrease_min<0.975873 then node 2 elseif spectral_decrease_min>=0.975873 then node 3 else 8905 DaveM@34: 2 class = 8905 DaveM@34: 3 class = 8888 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8947 DaveM@34: DaveM@34: Row: 8947, pDepth = 9, loss = 0.137143 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_5<0.329405 then node 2 elseif scvalleys_min_5>=0.329405 then node 3 else 8940 DaveM@34: 2 class = 8940 DaveM@34: 3 class = 8893 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8931 DaveM@34: DaveM@34: Row: 8931, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_5<0.329405 then node 2 elseif scvalleys_min_5>=0.329405 then node 3 else 8940 DaveM@34: 2 class = 8940 DaveM@34: 3 class = 8893 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8958 DaveM@34: DaveM@34: Row: 8958, pDepth = 8, loss = 0.084151 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_max_1<0.574793 then node 2 elseif scvalleys_max_1>=0.574793 then node 3 else 8955 DaveM@34: 2 class = 8935 DaveM@34: 3 class = 8955 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8937 DaveM@34: DaveM@34: Row: 8937, pDepth = 7, loss = 0.156306 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.146952 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.146952 then node 3 else 8915 DaveM@34: 2 if pitch_salience_mean<0.568618 then node 4 elseif pitch_salience_mean>=0.568618 then node 5 else 8915 DaveM@34: 3 class = 8920 DaveM@34: 4 class = 8920 DaveM@34: 5 class = 8915 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8957 DaveM@34: DaveM@34: Row: 8957, pDepth = 9, loss = 0.097025 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.280122 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.280122 then node 3 else 8936 DaveM@34: 2 class = 8936 DaveM@34: 3 class = 8919 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8885 DaveM@34: DaveM@34: Row: 8885, pDepth = 1, loss = 0.039370 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.230278 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.230278 then node 3 else 8760 DaveM@34: 2 class = 8707 DaveM@34: 3 class = 8760 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8952 DaveM@34: DaveM@34: Row: 8952, pDepth = 10, loss = 0.158516 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_min<0.010566 then node 2 elseif first_peak_spread_min>=0.010566 then node 3 else 8918 DaveM@34: 2 class = 8932 DaveM@34: 3 if scvalleys_min_3<0.337108 then node 4 elseif scvalleys_min_3>=0.337108 then node 5 else 8918 DaveM@34: 4 class = 8918 DaveM@34: 5 if second_peak_spread_max<0.459388 then node 6 elseif second_peak_spread_max>=0.459388 then node 7 else 8918 DaveM@34: 6 class = 8932 DaveM@34: 7 class = 8918 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8865 DaveM@34: DaveM@34: Row: 8865, pDepth = 2, loss = 0.060241 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.228026 then node 2 elseif spectral_entropy_mean>=0.228026 then node 3 else 8677 DaveM@34: 2 class = 8540 DaveM@34: 3 class = 8677 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8945 DaveM@34: DaveM@34: Row: 8945, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.228026 then node 2 elseif spectral_entropy_mean>=0.228026 then node 3 else 8677 DaveM@34: 2 class = 8540 DaveM@34: 3 class = 8677 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8657 DaveM@34: DaveM@34: Row: 8657, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.228026 then node 2 elseif spectral_entropy_mean>=0.228026 then node 3 else 8677 DaveM@34: 2 class = 8540 DaveM@34: 3 class = 8677 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8723 DaveM@34: DaveM@34: Row: 8723, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.228026 then node 2 elseif spectral_entropy_mean>=0.228026 then node 3 else 8677 DaveM@34: 2 class = 8540 DaveM@34: 3 class = 8677 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8951 DaveM@34: DaveM@34: Row: 8951, pDepth = 5, loss = 0.193900 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_max<0.775 then node 2 elseif first_peak_weight_max>=0.775 then node 3 else 8941 DaveM@34: 2 class = 8941 DaveM@34: 3 class = 8938 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8954 DaveM@34: DaveM@34: Row: 8954, pDepth = 12, loss = 0.196311 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_mean<0.10335 then node 2 elseif zerocrossingrate_mean>=0.10335 then node 3 else 8929 DaveM@34: 2 class = 8924 DaveM@34: 3 class = 8929 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8579 DaveM@34: DaveM@34: Row: 8579, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_mean<0.10335 then node 2 elseif zerocrossingrate_mean>=0.10335 then node 3 else 8929 DaveM@34: 2 class = 8924 DaveM@34: 3 class = 8929 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8628 DaveM@34: DaveM@34: Row: 8628, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_mean<0.10335 then node 2 elseif zerocrossingrate_mean>=0.10335 then node 3 else 8929 DaveM@34: 2 class = 8924 DaveM@34: 3 class = 8929 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8018 DaveM@34: DaveM@34: Row: 8018, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_mean<0.10335 then node 2 elseif zerocrossingrate_mean>=0.10335 then node 3 else 8929 DaveM@34: 2 class = 8924 DaveM@34: 3 class = 8929 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8670 DaveM@34: DaveM@34: Row: 8670, pDepth = 1, loss = 0.118644 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_2<0.442238 then node 2 elseif gfcc_median_2>=0.442238 then node 3 else 8606 DaveM@34: 2 class = 8606 DaveM@34: 3 class = 8650 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8184 DaveM@34: DaveM@34: Row: 8184, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_2<0.442238 then node 2 elseif gfcc_median_2>=0.442238 then node 3 else 8606 DaveM@34: 2 class = 8606 DaveM@34: 3 class = 8650 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8637 DaveM@34: DaveM@34: Row: 8637, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_2<0.442238 then node 2 elseif gfcc_median_2>=0.442238 then node 3 else 8606 DaveM@34: 2 class = 8606 DaveM@34: 3 class = 8650 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8771 DaveM@34: DaveM@34: Row: 8771, pDepth = 1, loss = 0.035714 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if erb_bands_dmean_3<0.576388 then node 2 elseif erb_bands_dmean_3>=0.576388 then node 3 else 8633 DaveM@34: 2 class = 8633 DaveM@34: 3 class = 8430 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8794 DaveM@34: DaveM@34: Row: 8794, pDepth = 1, loss = 0.095238 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_2<1.65e-05 then node 2 elseif barkbands_median_2>=1.65e-05 then node 3 else 8217 DaveM@34: 2 class = 8534 DaveM@34: 3 class = 8217 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5827 DaveM@34: DaveM@34: Row: 5827, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_2<1.65e-05 then node 2 elseif barkbands_median_2>=1.65e-05 then node 3 else 8217 DaveM@34: 2 class = 8534 DaveM@34: 3 class = 8217 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7156 DaveM@34: DaveM@34: Row: 7156, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_2<1.65e-05 then node 2 elseif barkbands_median_2>=1.65e-05 then node 3 else 8217 DaveM@34: 2 class = 8534 DaveM@34: 3 class = 8217 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8774 DaveM@34: DaveM@34: Row: 8774, pDepth = 2, loss = 0.061224 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_mean_17<8.1e-05 then node 2 elseif barkbands_mean_17>=8.1e-05 then node 3 else 8621 DaveM@34: 2 class = 8621 DaveM@34: 3 class = 8312 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8875 DaveM@34: DaveM@34: Row: 8875, pDepth = 3, loss = 0.104000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flux_max<0.200327 then node 2 elseif spectral_flux_max>=0.200327 then node 3 else 8870 DaveM@34: 2 class = 8870 DaveM@34: 3 if pitch_instantaneous_confidence_var<0.108638 then node 4 elseif pitch_instantaneous_confidence_var>=0.108638 then node 5 else 8799 DaveM@34: 4 class = 8870 DaveM@34: 5 class = 8799 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8804 DaveM@34: DaveM@34: Row: 8804, pDepth = 2, loss = 0.138614 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.50131 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.50131 then node 3 else 8726 DaveM@34: 2 class = 8743 DaveM@34: 3 class = 8726 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8925 DaveM@34: DaveM@34: Row: 8925, pDepth = 4, loss = 0.098551 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_mean<0.990566 then node 2 elseif silence_rate_30dB_mean>=0.990566 then node 3 else 8900 DaveM@34: 2 class = 8900 DaveM@34: 3 class = 8884 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8906 DaveM@34: DaveM@34: Row: 8906, pDepth = 6, loss = 0.194595 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_mean<0.118812 then node 2 elseif pitch_mean>=0.118812 then node 3 else 8856 DaveM@34: 2 class = 8828 DaveM@34: 3 class = 8856 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8911 DaveM@34: DaveM@34: Row: 8911, pDepth = 2, loss = 0.075472 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_5<0.228067 then node 2 elseif mfcc_dvar_5>=0.228067 then node 3 else 8829 DaveM@34: 2 class = 8829 DaveM@34: 3 class = 8821 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8171 DaveM@34: DaveM@34: Row: 8171, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_5<0.228067 then node 2 elseif mfcc_dvar_5>=0.228067 then node 3 else 8829 DaveM@34: 2 class = 8829 DaveM@34: 3 class = 8821 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8380 DaveM@34: DaveM@34: Row: 8380, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_5<0.228067 then node 2 elseif mfcc_dvar_5>=0.228067 then node 3 else 8829 DaveM@34: 2 class = 8829 DaveM@34: 3 class = 8821 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8494 DaveM@34: DaveM@34: Row: 8494, pDepth = 2, loss = 0.157895 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_3<0.0010675 then node 2 elseif beats_loudness_band_ratio_mean_3>=0.0010675 then node 3 else 7417 DaveM@34: 2 class = 7417 DaveM@34: 3 class = 7893 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8759 DaveM@34: DaveM@34: Row: 8759, pDepth = 2, loss = 0.136986 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_5<0.566381 then node 2 elseif beats_loudness_band_ratio_min_5>=0.566381 then node 3 else 8537 DaveM@34: 2 class = 8537 DaveM@34: 3 class = 8497 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8302 DaveM@34: DaveM@34: Row: 8302, pDepth = 2, loss = 0.114286 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_to_total<0.565705 then node 2 elseif max_to_total>=0.565705 then node 3 else 8014 DaveM@34: 2 class = 8014 DaveM@34: 3 class = 7541 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8697 DaveM@34: DaveM@34: Row: 8697, pDepth = 1, loss = 0.048193 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_middle_high_mean<7.8e-05 then node 2 elseif spectral_energyband_middle_high_mean>=7.8e-05 then node 3 else 8583 DaveM@34: 2 class = 7797 DaveM@34: 3 class = 8583 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8734 DaveM@34: DaveM@34: Row: 8734, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_middle_high_mean<7.8e-05 then node 2 elseif spectral_energyband_middle_high_mean>=7.8e-05 then node 3 else 8583 DaveM@34: 2 class = 7797 DaveM@34: 3 class = 8583 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8765 DaveM@34: DaveM@34: Row: 8765, pDepth = 2, loss = 0.171875 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if hfc_mean<0.000376 then node 2 elseif hfc_mean>=0.000376 then node 3 else 8675 DaveM@34: 2 class = 8488 DaveM@34: 3 class = 8675 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8362 DaveM@34: DaveM@34: Row: 8362, pDepth = 1, loss = 0.064516 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_median_0<0.194248 then node 2 elseif mfcc_median_0>=0.194248 then node 3 else 8114 DaveM@34: 2 class = 8114 DaveM@34: 3 class = 7889 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8886 DaveM@34: DaveM@34: Row: 8886, pDepth = 6, loss = 0.171171 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.147405 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.147405 then node 3 else 8848 DaveM@34: 2 class = 8744 DaveM@34: 3 if scvalleys_var_5<0.206259 then node 4 elseif scvalleys_var_5>=0.206259 then node 5 else 8848 DaveM@34: 4 class = 8744 DaveM@34: 5 class = 8848 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8831 DaveM@34: DaveM@34: Row: 8831, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.147405 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.147405 then node 3 else 8848 DaveM@34: 2 class = 8744 DaveM@34: 3 if scvalleys_var_5<0.206259 then node 4 elseif scvalleys_var_5>=0.206259 then node 5 else 8848 DaveM@34: 4 class = 8744 DaveM@34: 5 class = 8848 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8860 DaveM@34: DaveM@34: Row: 8860, pDepth = 6, loss = 0.181347 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_max_0<0.790436 then node 2 elseif gfcc_max_0>=0.790436 then node 3 else 8807 DaveM@34: 2 class = 8807 DaveM@34: 3 class = 8768 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8741 DaveM@34: DaveM@34: Row: 8741, pDepth = 2, loss = 0.144444 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dmean2<0.12055 then node 2 elseif spectral_flatness_db_dmean2>=0.12055 then node 3 else 8682 DaveM@34: 2 class = 8682 DaveM@34: 3 class = 8460 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8783 DaveM@34: DaveM@34: Row: 8783, pDepth = 2, loss = 0.057377 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.717311 then node 2 elseif spectral_entropy_mean>=0.717311 then node 3 else 8698 DaveM@34: 2 class = 8075 DaveM@34: 3 class = 8698 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8858 DaveM@34: DaveM@34: Row: 8858, pDepth = 3, loss = 0.099379 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_0<0.0454905 then node 2 elseif beats_loudness_band_ratio_median_0>=0.0454905 then node 3 else 8755 DaveM@34: 2 class = 8755 DaveM@34: 3 class = 8711 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8880 DaveM@34: DaveM@34: Row: 8880, pDepth = 4, loss = 0.116883 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_dmean<0.103471 then node 2 elseif spectral_entropy_dmean>=0.103471 then node 3 else 8833 DaveM@34: 2 class = 8341 DaveM@34: 3 class = 8833 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8881 DaveM@34: DaveM@34: Row: 8881, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_dmean<0.103471 then node 2 elseif spectral_entropy_dmean>=0.103471 then node 3 else 8833 DaveM@34: 2 class = 8341 DaveM@34: 3 class = 8833 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8897 DaveM@34: DaveM@34: Row: 8897, pDepth = 2, loss = 0.135294 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_median_16<8.35e-05 then node 2 elseif frequency_bands_median_16>=8.35e-05 then node 3 else 8846 DaveM@34: 2 if spectral_energy_var<6.65e-05 then node 4 elseif spectral_energy_var>=6.65e-05 then node 5 else 8846 DaveM@34: 3 class = 8784 DaveM@34: 4 if frequency_bands_median_16<5e-07 then node 6 elseif frequency_bands_median_16>=5e-07 then node 7 else 8846 DaveM@34: 5 if frequency_bands_median_16<5e-07 then node 8 elseif frequency_bands_median_16>=5e-07 then node 9 else 8846 DaveM@34: 6 class = 8846 DaveM@34: 7 if gfcc_mean_1<0.44926 then node 10 elseif gfcc_mean_1>=0.44926 then node 11 else 8846 DaveM@34: 8 if gfcc_mean_1<0.614542 then node 12 elseif gfcc_mean_1>=0.614542 then node 13 else 8846 DaveM@34: 9 if frequency_bands_median_16<5.9e-05 then node 14 elseif frequency_bands_median_16>=5.9e-05 then node 15 else 8784 DaveM@34: 10 class = 8846 DaveM@34: 11 class = 8784 DaveM@34: 12 class = 8846 DaveM@34: 13 if gfcc_mean_1<0.671312 then node 16 elseif gfcc_mean_1>=0.671312 then node 17 else 8784 DaveM@34: 14 if gfcc_mean_1<0.576564 then node 18 elseif gfcc_mean_1>=0.576564 then node 19 else 8784 DaveM@34: 15 class = 8846 DaveM@34: 16 class = 8784 DaveM@34: 17 class = 8846 DaveM@34: 18 if gfcc_mean_1<0.361218 then node 20 elseif gfcc_mean_1>=0.361218 then node 21 else 8784 DaveM@34: 19 class = 8784 DaveM@34: 20 class = 8784 DaveM@34: 21 if spectral_energy_var<0.000243 then node 22 elseif spectral_energy_var>=0.000243 then node 23 else 8846 DaveM@34: 22 class = 8846 DaveM@34: 23 if spectral_energy_var<0.000607 then node 24 elseif spectral_energy_var>=0.000607 then node 25 else 8784 DaveM@34: 24 class = 8784 DaveM@34: 25 class = 8846 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8895 DaveM@34: DaveM@34: Row: 8895, pDepth = 4, loss = 0.108225 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_mean_1<0.706145 then node 2 elseif scvalleys_mean_1>=0.706145 then node 3 else 8840 DaveM@34: 2 class = 8864 DaveM@34: 3 class = 8840 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8933 DaveM@34: DaveM@34: Row: 8933, pDepth = 3, loss = 0.051873 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_dmean2<0.001268 then node 2 elseif silence_rate_60dB_dmean2>=0.001268 then node 3 else 8872 DaveM@34: 2 class = 8838 DaveM@34: 3 class = 8872 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8888 DaveM@34: DaveM@34: Row: 8888, pDepth = 4, loss = 0.144860 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_median<0.248646 then node 2 elseif spectral_centroid_median>=0.248646 then node 3 else 8816 DaveM@34: 2 class = 8816 DaveM@34: 3 class = 8764 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8905 DaveM@34: DaveM@34: Row: 8905, pDepth = 5, loss = 0.124031 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_mean<0.320336 then node 2 elseif spectral_flatness_db_mean>=0.320336 then node 3 else 8868 DaveM@34: 2 class = 8868 DaveM@34: 3 class = 8738 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8893 DaveM@34: DaveM@34: Row: 8893, pDepth = 3, loss = 0.096939 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_median_21<0.0001485 then node 2 elseif frequency_bands_median_21>=0.0001485 then node 3 else 8785 DaveM@34: 2 class = 8785 DaveM@34: 3 class = 8678 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8940 DaveM@34: DaveM@34: Row: 8940, pDepth = 9, loss = 0.172619 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.0182555 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.0182555 then node 3 else 8912 DaveM@34: 2 class = 8912 DaveM@34: 3 class = 8876 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8750 DaveM@34: DaveM@34: Row: 8750, pDepth = 3, loss = 0.172727 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_mean<0.763889 then node 2 elseif first_peak_weight_mean>=0.763889 then node 3 else 8464 DaveM@34: 2 class = 8720 DaveM@34: 3 class = 8464 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8902 DaveM@34: DaveM@34: Row: 8902, pDepth = 2, loss = 0.107914 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_max_2<0.700581 then node 2 elseif scvalleys_max_2>=0.700581 then node 3 else 8824 DaveM@34: 2 class = 8790 DaveM@34: 3 class = 8824 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8935 DaveM@34: DaveM@34: Row: 8935, pDepth = 1, loss = 0.042781 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_max<0.91212 then node 2 elseif spectral_entropy_max>=0.91212 then node 3 else 8871 DaveM@34: 2 class = 8835 DaveM@34: 3 class = 8871 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8955 DaveM@34: DaveM@34: Row: 8955, pDepth = 7, loss = 0.140684 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_weight_median<0.17782 then node 2 elseif second_peak_weight_median>=0.17782 then node 3 else 8910 DaveM@34: 2 class = 8910 DaveM@34: 3 class = 8946 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8915 DaveM@34: DaveM@34: Row: 8915, pDepth = 6, loss = 0.083056 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_der_before_max_mean<0.549144 then node 2 elseif max_der_before_max_mean>=0.549144 then node 3 else 8837 DaveM@34: 2 class = 8819 DaveM@34: 3 class = 8837 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8920 DaveM@34: DaveM@34: Row: 8920, pDepth = 4, loss = 0.133588 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_max_18<0.0004445 then node 2 elseif barkbands_max_18>=0.0004445 then node 3 else 8891 DaveM@34: 2 class = 8843 DaveM@34: 3 class = 8891 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8919 DaveM@34: DaveM@34: Row: 8919, pDepth = 1, loss = 0.072131 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_mean<0.763889 then node 2 elseif first_peak_weight_mean>=0.763889 then node 3 else 8873 DaveM@34: 2 class = 8852 DaveM@34: 3 class = 8873 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8936 DaveM@34: DaveM@34: Row: 8936, pDepth = 6, loss = 0.074786 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_0<0.714803 then node 2 elseif beats_loudness_band_ratio_max_0>=0.714803 then node 3 else 8921 DaveM@34: 2 class = 8921 DaveM@34: 3 class = 8857 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8707 DaveM@34: DaveM@34: Row: 8707, pDepth = 1, loss = 0.022222 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_spread_max<0.050472 then node 2 elseif second_peak_spread_max>=0.050472 then node 3 else 8301 DaveM@34: 2 class = 8156 DaveM@34: 3 class = 8301 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8760 DaveM@34: DaveM@34: Row: 8760, pDepth = 2, loss = 0.109756 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_dmean2_11<7.5e-06 then node 2 elseif barkbands_dmean2_11>=7.5e-06 then node 3 else 8063 DaveM@34: 2 class = 8327 DaveM@34: 3 class = 8063 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8918 DaveM@34: DaveM@34: Row: 8918, pDepth = 7, loss = 0.181818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_5<0.0010565 then node 2 elseif beats_loudness_band_ratio_max_5>=0.0010565 then node 3 else 8869 DaveM@34: 2 class = 8883 DaveM@34: 3 class = 8869 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8932 DaveM@34: DaveM@34: Row: 8932, pDepth = 3, loss = 0.052885 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8540 DaveM@34: DaveM@34: Row: 8540, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8677 DaveM@34: DaveM@34: Row: 8677, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8474 DaveM@34: DaveM@34: Row: 8474, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8890 DaveM@34: DaveM@34: Row: 8890, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8424 DaveM@34: DaveM@34: Row: 8424, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8127 DaveM@34: DaveM@34: Row: 8127, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.837236 then node 2 elseif gfcc_mean_0>=0.837236 then node 3 else 8894 DaveM@34: 2 class = 8894 DaveM@34: 3 class = 8908 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8938 DaveM@34: DaveM@34: Row: 8938, pDepth = 3, loss = 0.105000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_median<0.00494 then node 2 elseif inharmonicity_median>=0.00494 then node 3 else 8896 DaveM@34: 2 class = 8927 DaveM@34: 3 class = 8896 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8941 DaveM@34: DaveM@34: Row: 8941, pDepth = 1, loss = 0.038610 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_1<0.300223 then node 2 elseif gfcc_mean_1>=0.300223 then node 3 else 8882 DaveM@34: 2 class = 8767 DaveM@34: 3 class = 8882 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8924 DaveM@34: DaveM@34: Row: 8924, pDepth = 1, loss = 0.066845 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_median<0.215852 then node 2 elseif first_peak_spread_median>=0.215852 then node 3 else 8914 DaveM@34: 2 class = 8914 DaveM@34: 3 class = 8781 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8929 DaveM@34: DaveM@34: Row: 8929, pDepth = 7, loss = 0.187013 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7850 DaveM@34: DaveM@34: Row: 7850, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7940 DaveM@34: DaveM@34: Row: 7940, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8371 DaveM@34: DaveM@34: Row: 8371, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8530 DaveM@34: DaveM@34: Row: 8530, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6907 DaveM@34: DaveM@34: Row: 6907, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7646 DaveM@34: DaveM@34: Row: 7646, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.081249 then node 2 elseif scvalleys_var_1>=0.081249 then node 3 else 8916 DaveM@34: 2 class = 8916 DaveM@34: 3 class = 8823 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8606 DaveM@34: DaveM@34: Row: 8606, pDepth = 1, loss = 0.066667 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8650 DaveM@34: DaveM@34: Row: 8650, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7144 DaveM@34: DaveM@34: Row: 7144, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8230 DaveM@34: DaveM@34: Row: 8230, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8471 DaveM@34: DaveM@34: Row: 8471, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8430 DaveM@34: DaveM@34: Row: 8430, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_min_6<1.5e-06 then node 2 elseif frequency_bands_min_6>=1.5e-06 then node 3 else 8276 DaveM@34: 2 class = 8492 DaveM@34: 3 class = 8276 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8633 DaveM@34: DaveM@34: Row: 8633, pDepth = 1, loss = 0.127660 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8217 DaveM@34: DaveM@34: Row: 8217, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8534 DaveM@34: DaveM@34: Row: 8534, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 712 DaveM@34: DaveM@34: Row: 712, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2269 DaveM@34: DaveM@34: Row: 2269, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4426 DaveM@34: DaveM@34: Row: 4426, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5110 DaveM@34: DaveM@34: Row: 5110, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8312 DaveM@34: DaveM@34: Row: 8312, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8621 DaveM@34: DaveM@34: Row: 8621, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_max<0.151868 then node 2 elseif spectral_flatness_db_max>=0.151868 then node 3 else 8387 DaveM@34: 2 class = 8387 DaveM@34: 3 class = 8563 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8799 DaveM@34: DaveM@34: Row: 8799, pDepth = 1, loss = 0.145455 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_var_0<0.25508 then node 2 elseif mfcc_var_0>=0.25508 then node 3 else 8719 DaveM@34: 2 class = 8719 DaveM@34: 3 class = 8645 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8870 DaveM@34: DaveM@34: Row: 8870, pDepth = 2, loss = 0.128571 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dmean2<0.165319 then node 2 elseif spectral_flatness_db_dmean2>=0.165319 then node 3 else 8811 DaveM@34: 2 class = 8811 DaveM@34: 3 class = 8791 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8726 DaveM@34: DaveM@34: Row: 8726, pDepth = 1, loss = 0.132075 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_spread_var<0.107504 then node 2 elseif spectral_spread_var>=0.107504 then node 3 else 8431 DaveM@34: 2 class = 8515 DaveM@34: 3 class = 8431 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8743 DaveM@34: DaveM@34: Row: 8743, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_spread_var<0.107504 then node 2 elseif spectral_spread_var>=0.107504 then node 3 else 8431 DaveM@34: 2 class = 8515 DaveM@34: 3 class = 8431 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8884 DaveM@34: DaveM@34: Row: 8884, pDepth = 5, loss = 0.149351 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.755376 then node 2 elseif gfcc_mean_0>=0.755376 then node 3 else 8788 DaveM@34: 2 class = 8788 DaveM@34: 3 class = 8826 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8900 DaveM@34: DaveM@34: Row: 8900, pDepth = 6, loss = 0.125654 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_20<0.0007535 then node 2 elseif barkbands_median_20>=0.0007535 then node 3 else 8861 DaveM@34: 2 class = 8861 DaveM@34: 3 class = 8721 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8828 DaveM@34: DaveM@34: Row: 8828, pDepth = 1, loss = 0.065934 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_0<0.40722 then node 2 elseif beats_loudness_band_ratio_max_0>=0.40722 then node 3 else 8786 DaveM@34: 2 class = 8786 DaveM@34: 3 class = 8761 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8856 DaveM@34: DaveM@34: Row: 8856, pDepth = 3, loss = 0.095745 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.157454 then node 2 elseif inharmonicity_mean>=0.157454 then node 3 else 8731 DaveM@34: 2 class = 8690 DaveM@34: 3 class = 8731 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8821 DaveM@34: DaveM@34: Row: 8821, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.157454 then node 2 elseif inharmonicity_mean>=0.157454 then node 3 else 8731 DaveM@34: 2 class = 8690 DaveM@34: 3 class = 8731 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8829 DaveM@34: DaveM@34: Row: 8829, pDepth = 1, loss = 0.031250 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_mean_1<0.160731 then node 2 elseif tristimulus_mean_1>=0.160731 then node 3 else 8725 DaveM@34: 2 class = 8725 DaveM@34: 3 class = 8619 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6751 DaveM@34: DaveM@34: Row: 6751, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_mean_1<0.160731 then node 2 elseif tristimulus_mean_1>=0.160731 then node 3 else 8725 DaveM@34: 2 class = 8725 DaveM@34: 3 class = 8619 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8021 DaveM@34: DaveM@34: Row: 8021, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_mean_1<0.160731 then node 2 elseif tristimulus_mean_1>=0.160731 then node 3 else 8725 DaveM@34: 2 class = 8725 DaveM@34: 3 class = 8619 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7998 DaveM@34: DaveM@34: Row: 7998, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_mean_1<0.160731 then node 2 elseif tristimulus_mean_1>=0.160731 then node 3 else 8725 DaveM@34: 2 class = 8725 DaveM@34: 3 class = 8619 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8275 DaveM@34: DaveM@34: Row: 8275, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_mean_1<0.160731 then node 2 elseif tristimulus_mean_1>=0.160731 then node 3 else 8725 DaveM@34: 2 class = 8725 DaveM@34: 3 class = 8619 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7417 DaveM@34: DaveM@34: Row: 7417, pDepth = 1, loss = 0.060606 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_dmean2<0.119373 then node 2 elseif spectral_entropy_dmean2>=0.119373 then node 3 else 6660 DaveM@34: 2 class = 6662 DaveM@34: 3 class = 6660 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7893 DaveM@34: DaveM@34: Row: 7893, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_dmean2<0.119373 then node 2 elseif spectral_entropy_dmean2>=0.119373 then node 3 else 6660 DaveM@34: 2 class = 6662 DaveM@34: 3 class = 6660 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8497 DaveM@34: DaveM@34: Row: 8497, pDepth = 1, loss = 0.074074 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rms_mean<0.026824 then node 2 elseif spectral_rms_mean>=0.026824 then node 3 else 7955 DaveM@34: 2 class = 7702 DaveM@34: 3 class = 7955 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8537 DaveM@34: DaveM@34: Row: 8537, pDepth = 2, loss = 0.108696 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_min<0.583247 then node 2 elseif spectral_entropy_min>=0.583247 then node 3 else 8179 DaveM@34: 2 class = 8069 DaveM@34: 3 class = 8179 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7541 DaveM@34: DaveM@34: Row: 7541, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_min<0.583247 then node 2 elseif spectral_entropy_min>=0.583247 then node 3 else 8179 DaveM@34: 2 class = 8069 DaveM@34: 3 class = 8179 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8014 DaveM@34: DaveM@34: Row: 8014, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_min<0.583247 then node 2 elseif spectral_entropy_min>=0.583247 then node 3 else 8179 DaveM@34: 2 class = 8069 DaveM@34: 3 class = 8179 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7797 DaveM@34: DaveM@34: Row: 7797, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_min<0.583247 then node 2 elseif spectral_entropy_min>=0.583247 then node 3 else 8179 DaveM@34: 2 class = 8069 DaveM@34: 3 class = 8179 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8583 DaveM@34: DaveM@34: Row: 8583, pDepth = 1, loss = 0.098592 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_min<0.0510405 then node 2 elseif zerocrossingrate_min>=0.0510405 then node 3 else 8289 DaveM@34: 2 class = 8245 DaveM@34: 3 class = 8289 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7922 DaveM@34: DaveM@34: Row: 7922, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_min<0.0510405 then node 2 elseif zerocrossingrate_min>=0.0510405 then node 3 else 8289 DaveM@34: 2 class = 8245 DaveM@34: 3 class = 8289 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8708 DaveM@34: DaveM@34: Row: 8708, pDepth = 2, loss = 0.053571 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_0<0.012433 then node 2 elseif beats_loudness_band_ratio_max_0>=0.012433 then node 3 else 8370 DaveM@34: 2 class = 8469 DaveM@34: 3 class = 8370 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8488 DaveM@34: DaveM@34: Row: 8488, pDepth = 1, loss = 0.132075 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dvar_1<0.0257925 then node 2 elseif scvalleys_dvar_1>=0.0257925 then node 3 else 8201 DaveM@34: 2 class = 8201 DaveM@34: 3 class = 8393 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8675 DaveM@34: DaveM@34: Row: 8675, pDepth = 1, loss = 0.133333 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_0<0.103958 then node 2 elseif mfcc_dvar_0>=0.103958 then node 3 else 8592 DaveM@34: 2 class = 7871 DaveM@34: 3 class = 8592 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7889 DaveM@34: DaveM@34: Row: 7889, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_0<0.103958 then node 2 elseif mfcc_dvar_0>=0.103958 then node 3 else 8592 DaveM@34: 2 class = 7871 DaveM@34: 3 class = 8592 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8114 DaveM@34: DaveM@34: Row: 8114, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_0<0.103958 then node 2 elseif mfcc_dvar_0>=0.103958 then node 3 else 8592 DaveM@34: 2 class = 7871 DaveM@34: 3 class = 8592 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8744 DaveM@34: DaveM@34: Row: 8744, pDepth = 2, loss = 0.095238 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_2<0.120504 then node 2 elseif scvalleys_var_2>=0.120504 then node 3 else 8508 DaveM@34: 2 class = 8508 DaveM@34: 3 class = 8569 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8848 DaveM@34: DaveM@34: Row: 8848, pDepth = 5, loss = 0.179487 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dmean<0.184358 then node 2 elseif spectral_flatness_db_dmean>=0.184358 then node 3 else 8777 DaveM@34: 2 class = 8777 DaveM@34: 3 class = 8801 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7522 DaveM@34: DaveM@34: Row: 7522, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dmean<0.184358 then node 2 elseif spectral_flatness_db_dmean>=0.184358 then node 3 else 8777 DaveM@34: 2 class = 8777 DaveM@34: 3 class = 8801 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8510 DaveM@34: DaveM@34: Row: 8510, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dmean<0.184358 then node 2 elseif spectral_flatness_db_dmean>=0.184358 then node 3 else 8777 DaveM@34: 2 class = 8777 DaveM@34: 3 class = 8801 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8768 DaveM@34: DaveM@34: Row: 8768, pDepth = 2, loss = 0.098901 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_dmean2<0.0486295 then node 2 elseif silence_rate_30dB_dmean2>=0.0486295 then node 3 else 8425 DaveM@34: 2 class = 8425 DaveM@34: 3 class = 8612 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8807 DaveM@34: DaveM@34: Row: 8807, pDepth = 2, loss = 0.078431 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.046759 then node 2 elseif inharmonicity_mean>=0.046759 then node 3 else 8724 DaveM@34: 2 class = 8299 DaveM@34: 3 class = 8724 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8460 DaveM@34: DaveM@34: Row: 8460, pDepth = 1, loss = 0.085714 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_5<0.195317 then node 2 elseif spectral_contrast_mean_5>=0.195317 then node 3 else 8377 DaveM@34: 2 class = 8205 DaveM@34: 3 class = 8377 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8682 DaveM@34: DaveM@34: Row: 8682, pDepth = 1, loss = 0.018182 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_spread_dvar<0.0142395 then node 2 elseif barkbands_spread_dvar>=0.0142395 then node 3 else 8588 DaveM@34: 2 class = 6448 DaveM@34: 3 class = 8588 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8075 DaveM@34: DaveM@34: Row: 8075, pDepth = 1, loss = 0.033333 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_5<0.298373 then node 2 elseif beats_loudness_band_ratio_min_5>=0.298373 then node 3 else 7015 DaveM@34: 2 class = 7659 DaveM@34: 3 class = 7015 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8698 DaveM@34: DaveM@34: Row: 8698, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_5<0.298373 then node 2 elseif beats_loudness_band_ratio_min_5>=0.298373 then node 3 else 7015 DaveM@34: 2 class = 7659 DaveM@34: 3 class = 7015 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8711 DaveM@34: DaveM@34: Row: 8711, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_5<0.298373 then node 2 elseif beats_loudness_band_ratio_min_5>=0.298373 then node 3 else 7015 DaveM@34: 2 class = 7659 DaveM@34: 3 class = 7015 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8755 DaveM@34: DaveM@34: Row: 8755, pDepth = 2, loss = 0.197531 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_max_2<0.752637 then node 2 elseif tristimulus_max_2>=0.752637 then node 3 else 8658 DaveM@34: 2 class = 8658 DaveM@34: 3 if tristimulus_max_2<0.80408 then node 4 elseif tristimulus_max_2>=0.80408 then node 5 else 8658 DaveM@34: 4 if barkbands_dmean2_22<0.0004235 then node 6 elseif barkbands_dmean2_22>=0.0004235 then node 7 else 8382 DaveM@34: 5 if erb_bands_dvar2_8<0.0050135 then node 8 elseif erb_bands_dvar2_8>=0.0050135 then node 9 else 8658 DaveM@34: 6 class = 8382 DaveM@34: 7 class = 8658 DaveM@34: 8 class = 8658 DaveM@34: 9 class = 8382 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8341 DaveM@34: DaveM@34: Row: 8341, pDepth = 1, loss = 0.079365 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_var_1<0.38783 then node 2 elseif scvalleys_var_1>=0.38783 then node 3 else 8038 DaveM@34: 2 class = 5730 DaveM@34: 3 class = 8038 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8833 DaveM@34: DaveM@34: Row: 8833, pDepth = 5, loss = 0.142857 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dmean_1<0.446352 then node 2 elseif scvalleys_dmean_1>=0.446352 then node 3 else 8758 DaveM@34: 2 class = 8758 DaveM@34: 3 class = 8740 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8632 DaveM@34: DaveM@34: Row: 8632, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dmean_1<0.446352 then node 2 elseif scvalleys_dmean_1>=0.446352 then node 3 else 8758 DaveM@34: 2 class = 8758 DaveM@34: 3 class = 8740 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8769 DaveM@34: DaveM@34: Row: 8769, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dmean_1<0.446352 then node 2 elseif scvalleys_dmean_1>=0.446352 then node 3 else 8758 DaveM@34: 2 class = 8758 DaveM@34: 3 class = 8740 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8784 DaveM@34: DaveM@34: Row: 8784, pDepth = 2, loss = 0.166667 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_instantaneous_confidence_median<0.454039 then node 2 elseif pitch_instantaneous_confidence_median>=0.454039 then node 3 else 8396 DaveM@34: 2 class = 8396 DaveM@34: 3 class = 8689 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8846 DaveM@34: DaveM@34: Row: 8846, pDepth = 2, loss = 0.048077 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dvar_7<0.041849 then node 2 elseif mfcc_dvar_7>=0.041849 then node 3 else 8694 DaveM@34: 2 class = 8694 DaveM@34: 3 class = 8671 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8840 DaveM@34: DaveM@34: Row: 8840, pDepth = 4, loss = 0.160000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_5<0.30358 then node 2 elseif scvalleys_min_5>=0.30358 then node 3 else 8557 DaveM@34: 2 class = 8557 DaveM@34: 3 class = 8626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8864 DaveM@34: DaveM@34: Row: 8864, pDepth = 2, loss = 0.132075 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_spread_dmean<0.233654 then node 2 elseif barkbands_spread_dmean>=0.233654 then node 3 else 8813 DaveM@34: 2 class = 8813 DaveM@34: 3 class = 8566 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8838 DaveM@34: DaveM@34: Row: 8838, pDepth = 4, loss = 0.113636 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_weight_min<0.310345 then node 2 elseif second_peak_weight_min>=0.310345 then node 3 else 8780 DaveM@34: 2 class = 8780 DaveM@34: 3 class = 8603 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8872 DaveM@34: DaveM@34: Row: 8872, pDepth = 6, loss = 0.146718 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_spread_median<0.188947 then node 2 elseif second_peak_spread_median>=0.188947 then node 3 else 8842 DaveM@34: 2 if scvalleys_min_4<0.380769 then node 4 elseif scvalleys_min_4>=0.380769 then node 5 else 8789 DaveM@34: 3 class = 8842 DaveM@34: 4 class = 8789 DaveM@34: 5 class = 8842 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8764 DaveM@34: DaveM@34: Row: 8764, pDepth = 1, loss = 0.162162 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_dmean2_4<9e-06 then node 2 elseif beats_loudness_band_ratio_dmean2_4>=9e-06 then node 3 else 8656 DaveM@34: 2 class = 8656 DaveM@34: 3 class = 8667 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8816 DaveM@34: DaveM@34: Row: 8816, pDepth = 2, loss = 0.092857 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.154344 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.154344 then node 3 else 8746 DaveM@34: 2 class = 8746 DaveM@34: 3 class = 8699 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8738 DaveM@34: DaveM@34: Row: 8738, pDepth = 1, loss = 0.156863 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_var_10<0.087524 then node 2 elseif mfcc_var_10>=0.087524 then node 3 else 8640 DaveM@34: 2 class = 8692 DaveM@34: 3 class = 8640 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8868 DaveM@34: DaveM@34: Row: 8868, pDepth = 4, loss = 0.130435 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_0<0.00142 then node 2 elseif beats_loudness_band_ratio_median_0>=0.00142 then node 3 else 8792 DaveM@34: 2 class = 8792 DaveM@34: 3 class = 8714 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8678 DaveM@34: DaveM@34: Row: 8678, pDepth = 2, loss = 0.162500 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_max<0.930671 then node 2 elseif spectral_entropy_max>=0.930671 then node 3 else 8531 DaveM@34: 2 class = 8378 DaveM@34: 3 class = 8531 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8785 DaveM@34: DaveM@34: Row: 8785, pDepth = 2, loss = 0.077586 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_mean<0.974679 then node 2 elseif silence_rate_30dB_mean>=0.974679 then node 3 else 8702 DaveM@34: 2 class = 8604 DaveM@34: 3 class = 8702 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8876 DaveM@34: DaveM@34: Row: 8876, pDepth = 3, loss = 0.094527 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_mean<0.224613 then node 2 elseif spectral_centroid_mean>=0.224613 then node 3 else 8862 DaveM@34: 2 class = 8862 DaveM@34: 3 class = 8386 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8912 DaveM@34: DaveM@34: Row: 8912, pDepth = 5, loss = 0.184818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if stopFrame<0.011142 then node 2 elseif stopFrame>=0.011142 then node 3 else 8899 DaveM@34: 2 class = 8737 DaveM@34: 3 class = 8899 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8464 DaveM@34: DaveM@34: Row: 8464, pDepth = 1, loss = 0.081967 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_4<0.000218 then node 2 elseif beats_loudness_band_ratio_var_4>=0.000218 then node 3 else 8361 DaveM@34: 2 class = 8361 DaveM@34: 3 class = 7673 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8720 DaveM@34: DaveM@34: Row: 8720, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_4<0.000218 then node 2 elseif beats_loudness_band_ratio_var_4>=0.000218 then node 3 else 8361 DaveM@34: 2 class = 8361 DaveM@34: 3 class = 7673 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8790 DaveM@34: DaveM@34: Row: 8790, pDepth = 1, loss = 0.196970 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_16<5.5e-06 then node 2 elseif barkbands_median_16>=5.5e-06 then node 3 else 8700 DaveM@34: 2 class = 8700 DaveM@34: 3 class = 8433 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8824 DaveM@34: DaveM@34: Row: 8824, pDepth = 1, loss = 0.054795 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_median_9<0.605751 then node 2 elseif mfcc_median_9>=0.605751 then node 3 else 8666 DaveM@34: 2 class = 8666 DaveM@34: 3 class = 8610 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8835 DaveM@34: DaveM@34: Row: 8835, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_median_9<0.605751 then node 2 elseif mfcc_median_9>=0.605751 then node 3 else 8666 DaveM@34: 2 class = 8666 DaveM@34: 3 class = 8610 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8871 DaveM@34: DaveM@34: Row: 8871, pDepth = 2, loss = 0.065789 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.193569 then node 2 elseif inharmonicity_mean>=0.193569 then node 3 else 8796 DaveM@34: 2 class = 8796 DaveM@34: 3 class = 8709 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8910 DaveM@34: DaveM@34: Row: 8910, pDepth = 3, loss = 0.059896 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_decrease_median<0.899888 then node 2 elseif spectral_decrease_median>=0.899888 then node 3 else 8878 DaveM@34: 2 class = 8810 DaveM@34: 3 class = 8878 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8946 DaveM@34: DaveM@34: Row: 8946, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_decrease_median<0.899888 then node 2 elseif spectral_decrease_median>=0.899888 then node 3 else 8878 DaveM@34: 2 class = 8810 DaveM@34: 3 class = 8878 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8819 DaveM@34: DaveM@34: Row: 8819, pDepth = 3, loss = 0.118110 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_median<0.16468 then node 2 elseif spectral_centroid_median>=0.16468 then node 3 else 8648 DaveM@34: 2 class = 8590 DaveM@34: 3 class = 8648 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8837 DaveM@34: DaveM@34: Row: 8837, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_median<0.16468 then node 2 elseif spectral_centroid_median>=0.16468 then node 3 else 8648 DaveM@34: 2 class = 8590 DaveM@34: 3 class = 8648 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8843 DaveM@34: DaveM@34: Row: 8843, pDepth = 1, loss = 0.065217 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_5<0.332682 then node 2 elseif beats_loudness_band_ratio_max_5>=0.332682 then node 3 else 8673 DaveM@34: 2 class = 8713 DaveM@34: 3 class = 8673 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8891 DaveM@34: DaveM@34: Row: 8891, pDepth = 2, loss = 0.076471 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_mean<0.712979 then node 2 elseif spectral_entropy_mean>=0.712979 then node 3 else 8851 DaveM@34: 2 class = 8742 DaveM@34: 3 class = 8851 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8852 DaveM@34: DaveM@34: Row: 8852, pDepth = 1, loss = 0.053763 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_mean_2<0.799317 then node 2 elseif scvalleys_mean_2>=0.799317 then node 3 else 8618 DaveM@34: 2 class = 8458 DaveM@34: 3 class = 8618 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8873 DaveM@34: DaveM@34: Row: 8873, pDepth = 5, loss = 0.188679 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_max_0<0.8201 then node 2 elseif gfcc_max_0>=0.8201 then node 3 else 8830 DaveM@34: 2 class = 8817 DaveM@34: 3 class = 8830 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8857 DaveM@34: DaveM@34: Row: 8857, pDepth = 3, loss = 0.078740 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_dvar<0.0081965 then node 2 elseif silence_rate_30dB_dvar>=0.0081965 then node 3 else 8800 DaveM@34: 2 class = 8521 DaveM@34: 3 class = 8800 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8921 DaveM@34: DaveM@34: Row: 8921, pDepth = 9, loss = 0.196481 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_4<1.5e-06 then node 2 elseif beats_loudness_band_ratio_min_4>=1.5e-06 then node 3 else 8889 DaveM@34: 2 class = 8889 DaveM@34: 3 class = 8845 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8156 DaveM@34: DaveM@34: Row: 8156, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_4<1.5e-06 then node 2 elseif beats_loudness_band_ratio_min_4>=1.5e-06 then node 3 else 8889 DaveM@34: 2 class = 8889 DaveM@34: 3 class = 8845 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8301 DaveM@34: DaveM@34: Row: 8301, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_4<1.5e-06 then node 2 elseif beats_loudness_band_ratio_min_4>=1.5e-06 then node 3 else 8889 DaveM@34: 2 class = 8889 DaveM@34: 3 class = 8845 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8063 DaveM@34: DaveM@34: Row: 8063, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_4<1.5e-06 then node 2 elseif beats_loudness_band_ratio_min_4>=1.5e-06 then node 3 else 8889 DaveM@34: 2 class = 8889 DaveM@34: 3 class = 8845 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8327 DaveM@34: DaveM@34: Row: 8327, pDepth = 1, loss = 0.055556 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_3<0.3427 then node 2 elseif scvalleys_min_3>=0.3427 then node 3 else 7995 DaveM@34: 2 class = 7995 DaveM@34: 3 class = 6675 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8869 DaveM@34: DaveM@34: Row: 8869, pDepth = 4, loss = 0.113990 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_min<0.606841 then node 2 elseif spectral_entropy_min>=0.606841 then node 3 else 8820 DaveM@34: 2 class = 8820 DaveM@34: 3 class = 8669 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8883 DaveM@34: DaveM@34: Row: 8883, pDepth = 5, loss = 0.197917 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_2<0.498872 then node 2 elseif scvalleys_min_2>=0.498872 then node 3 else 8795 DaveM@34: 2 class = 8795 DaveM@34: 3 class = 8859 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8894 DaveM@34: DaveM@34: Row: 8894, pDepth = 2, loss = 0.064286 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_var<0.003146 then node 2 elseif inharmonicity_var>=0.003146 then node 3 else 8844 DaveM@34: 2 class = 8834 DaveM@34: 3 class = 8844 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8908 DaveM@34: DaveM@34: Row: 8908, pDepth = 3, loss = 0.161765 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_0<0.024685 then node 2 elseif gfcc_dmean_0>=0.024685 then node 3 else 8853 DaveM@34: 2 class = 8849 DaveM@34: 3 class = 8853 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7240 DaveM@34: DaveM@34: Row: 7240, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_0<0.024685 then node 2 elseif gfcc_dmean_0>=0.024685 then node 3 else 8853 DaveM@34: 2 class = 8849 DaveM@34: 3 class = 8853 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8053 DaveM@34: DaveM@34: Row: 8053, pDepth = 1, loss = 0.045455 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_dmean2_5<0.353328 then node 2 elseif beats_loudness_band_ratio_dmean2_5>=0.353328 then node 3 else 7824 DaveM@34: 2 class = 7824 DaveM@34: 3 class = 6868 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7891 DaveM@34: DaveM@34: Row: 7891, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_dmean2_5<0.353328 then node 2 elseif beats_loudness_band_ratio_dmean2_5>=0.353328 then node 3 else 7824 DaveM@34: 2 class = 7824 DaveM@34: 3 class = 6868 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8602 DaveM@34: DaveM@34: Row: 8602, pDepth = 1, loss = 0.081633 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1755 DaveM@34: DaveM@34: Row: 1755, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7828 DaveM@34: DaveM@34: Row: 7828, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8688 DaveM@34: DaveM@34: Row: 8688, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8808 DaveM@34: DaveM@34: Row: 8808, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6569 DaveM@34: DaveM@34: Row: 6569, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6932 DaveM@34: DaveM@34: Row: 6932, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_median<0.857549 then node 2 elseif dissonance_median>=0.857549 then node 3 else 8539 DaveM@34: 2 class = 8539 DaveM@34: 3 class = 8172 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8896 DaveM@34: DaveM@34: Row: 8896, pDepth = 1, loss = 0.017544 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rms_mean<0.162661 then node 2 elseif spectral_rms_mean>=0.162661 then node 3 else 8806 DaveM@34: 2 class = 8806 DaveM@34: 3 class = 8687 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8927 DaveM@34: DaveM@34: Row: 8927, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rms_mean<0.162661 then node 2 elseif spectral_rms_mean>=0.162661 then node 3 else 8806 DaveM@34: 2 class = 8806 DaveM@34: 3 class = 8687 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8767 DaveM@34: DaveM@34: Row: 8767, pDepth = 1, loss = 0.105263 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if second_peak_bpm_max<0.666667 then node 2 elseif second_peak_bpm_max>=0.666667 then node 3 else 8736 DaveM@34: 2 class = 8736 DaveM@34: 3 class = 7749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8882 DaveM@34: DaveM@34: Row: 8882, pDepth = 4, loss = 0.120219 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_3<0.370889 then node 2 elseif scvalleys_min_3>=0.370889 then node 3 else 8874 DaveM@34: 2 class = 8874 DaveM@34: 3 class = 8805 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8781 DaveM@34: DaveM@34: Row: 8781, pDepth = 4, loss = 0.179245 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_1<0.000963 then node 2 elseif beats_loudness_band_ratio_median_1>=0.000963 then node 3 else 8654 DaveM@34: 2 class = 8654 DaveM@34: 3 class = 8706 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8914 DaveM@34: DaveM@34: Row: 8914, pDepth = 6, loss = 0.141791 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_instantaneous_confidence_mean<0.731062 then node 2 elseif pitch_instantaneous_confidence_mean>=0.731062 then node 3 else 8887 DaveM@34: 2 class = 8887 DaveM@34: 3 class = 8822 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8823 DaveM@34: DaveM@34: Row: 8823, pDepth = 2, loss = 0.147059 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_median_9<2.15e-05 then node 2 elseif barkbands_median_9>=2.15e-05 then node 3 else 8793 DaveM@34: 2 class = 8593 DaveM@34: 3 class = 8793 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8916 DaveM@34: DaveM@34: Row: 8916, pDepth = 3, loss = 0.076305 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6869 DaveM@34: DaveM@34: Row: 6869, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7664 DaveM@34: DaveM@34: Row: 7664, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8071 DaveM@34: DaveM@34: Row: 8071, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8111 DaveM@34: DaveM@34: Row: 8111, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7518 DaveM@34: DaveM@34: Row: 7518, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7834 DaveM@34: DaveM@34: Row: 7834, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6008 DaveM@34: DaveM@34: Row: 6008, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6260 DaveM@34: DaveM@34: Row: 6260, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7257 DaveM@34: DaveM@34: Row: 7257, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8276 DaveM@34: DaveM@34: Row: 8276, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8492 DaveM@34: DaveM@34: Row: 8492, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8412 DaveM@34: DaveM@34: Row: 8412, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8517 DaveM@34: DaveM@34: Row: 8517, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6450 DaveM@34: DaveM@34: Row: 6450, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6973 DaveM@34: DaveM@34: Row: 6973, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7691 DaveM@34: DaveM@34: Row: 7691, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7528 DaveM@34: DaveM@34: Row: 7528, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8235 DaveM@34: DaveM@34: Row: 8235, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7471 DaveM@34: DaveM@34: Row: 7471, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7963 DaveM@34: DaveM@34: Row: 7963, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8387 DaveM@34: DaveM@34: Row: 8387, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_7<0.189042 then node 2 elseif gfcc_dmean_7>=0.189042 then node 3 else 8907 DaveM@34: 2 class = 8907 DaveM@34: 3 if tristimulus_dvar2_2<0.158203 then node 4 elseif tristimulus_dvar2_2>=0.158203 then node 5 else 8867 DaveM@34: 4 class = 8867 DaveM@34: 5 class = 8907 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8563 DaveM@34: DaveM@34: Row: 8563, pDepth = 1, loss = 0.181818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7277 DaveM@34: DaveM@34: Row: 7277, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7408 DaveM@34: DaveM@34: Row: 7408, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8310 DaveM@34: DaveM@34: Row: 8310, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8348 DaveM@34: DaveM@34: Row: 8348, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1788 DaveM@34: DaveM@34: Row: 1788, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 928 DaveM@34: DaveM@34: Row: 928, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2329 DaveM@34: DaveM@34: Row: 2329, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7614 DaveM@34: DaveM@34: Row: 7614, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8046 DaveM@34: DaveM@34: Row: 8046, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8491 DaveM@34: DaveM@34: Row: 8491, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8614 DaveM@34: DaveM@34: Row: 8614, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8645 DaveM@34: DaveM@34: Row: 8645, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_19<5e-07 then node 2 elseif barkbands_var_19>=5e-07 then node 3 else 8411 DaveM@34: 2 class = 7936 DaveM@34: 3 class = 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8719 DaveM@34: DaveM@34: Row: 8719, pDepth = 2, loss = 0.178571 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rolloff_median<0.122574 then node 2 elseif spectral_rolloff_median>=0.122574 then node 3 else 8571 DaveM@34: 2 class = 8571 DaveM@34: 3 class = 8639 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8791 DaveM@34: DaveM@34: Row: 8791, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rolloff_median<0.122574 then node 2 elseif spectral_rolloff_median>=0.122574 then node 3 else 8571 DaveM@34: 2 class = 8571 DaveM@34: 3 class = 8639 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8811 DaveM@34: DaveM@34: Row: 8811, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rolloff_median<0.122574 then node 2 elseif spectral_rolloff_median>=0.122574 then node 3 else 8571 DaveM@34: 2 class = 8571 DaveM@34: 3 class = 8639 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8431 DaveM@34: DaveM@34: Row: 8431, pDepth = 1, loss = 0.062500 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rms_mean<0.076959 then node 2 elseif spectral_rms_mean>=0.076959 then node 3 else 8228 DaveM@34: 2 class = 8228 DaveM@34: 3 class = 7946 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8515 DaveM@34: DaveM@34: Row: 8515, pDepth = 1, loss = 0.142857 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_3<0.478753 then node 2 elseif gfcc_mean_3>=0.478753 then node 3 else 7558 DaveM@34: 2 class = 7558 DaveM@34: 3 if dissonance_min<0.453499 then node 4 elseif dissonance_min>=0.453499 then node 5 else 8186 DaveM@34: 4 class = 7558 DaveM@34: 5 class = 8186 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6797 DaveM@34: DaveM@34: Row: 6797, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_3<0.478753 then node 2 elseif gfcc_mean_3>=0.478753 then node 3 else 7558 DaveM@34: 2 class = 7558 DaveM@34: 3 if dissonance_min<0.453499 then node 4 elseif dissonance_min>=0.453499 then node 5 else 8186 DaveM@34: 4 class = 7558 DaveM@34: 5 class = 8186 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8500 DaveM@34: DaveM@34: Row: 8500, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_3<0.478753 then node 2 elseif gfcc_mean_3>=0.478753 then node 3 else 7558 DaveM@34: 2 class = 7558 DaveM@34: 3 if dissonance_min<0.453499 then node 4 elseif dissonance_min>=0.453499 then node 5 else 8186 DaveM@34: 4 class = 7558 DaveM@34: 5 class = 8186 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8788 DaveM@34: DaveM@34: Row: 8788, pDepth = 2, loss = 0.181818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_median_0<0.425454 then node 2 elseif spectral_contrast_median_0>=0.425454 then node 3 else 8643 DaveM@34: 2 class = 8643 DaveM@34: 3 if spectral_kurtosis_dmean2<0.0004385 then node 4 elseif spectral_kurtosis_dmean2>=0.0004385 then node 5 else 8303 DaveM@34: 4 class = 8643 DaveM@34: 5 class = 8303 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8826 DaveM@34: DaveM@34: Row: 8826, pDepth = 2, loss = 0.103896 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_median_2<0.304088 then node 2 elseif spectral_contrast_median_2>=0.304088 then node 3 else 8620 DaveM@34: 2 class = 8620 DaveM@34: 3 class = 8778 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8721 DaveM@34: DaveM@34: Row: 8721, pDepth = 2, loss = 0.107143 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_dmean2_4<0.105466 then node 2 elseif spectral_contrast_dmean2_4>=0.105466 then node 3 else 8576 DaveM@34: 2 class = 8576 DaveM@34: 3 class = 8591 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8861 DaveM@34: DaveM@34: Row: 8861, pDepth = 2, loss = 0.111111 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_0<0.1576 then node 2 elseif beats_loudness_band_ratio_min_0>=0.1576 then node 3 else 8733 DaveM@34: 2 class = 8733 DaveM@34: 3 class = 8625 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8761 DaveM@34: DaveM@34: Row: 8761, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_0<0.1576 then node 2 elseif beats_loudness_band_ratio_min_0>=0.1576 then node 3 else 8733 DaveM@34: 2 class = 8733 DaveM@34: 3 class = 8625 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8786 DaveM@34: DaveM@34: Row: 8786, pDepth = 1, loss = 0.053571 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_2<0.396462 then node 2 elseif beats_loudness_band_ratio_min_2>=0.396462 then node 3 else 8664 DaveM@34: 2 class = 8664 DaveM@34: 3 class = 8452 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8690 DaveM@34: DaveM@34: Row: 8690, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_2<0.396462 then node 2 elseif beats_loudness_band_ratio_min_2>=0.396462 then node 3 else 8664 DaveM@34: 2 class = 8664 DaveM@34: 3 class = 8452 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8731 DaveM@34: DaveM@34: Row: 8731, pDepth = 3, loss = 0.078431 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8608 DaveM@34: DaveM@34: Row: 8608, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8772 DaveM@34: DaveM@34: Row: 8772, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8619 DaveM@34: DaveM@34: Row: 8619, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8725 DaveM@34: DaveM@34: Row: 8725, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3025 DaveM@34: DaveM@34: Row: 3025, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5585 DaveM@34: DaveM@34: Row: 5585, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7034 DaveM@34: DaveM@34: Row: 7034, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7190 DaveM@34: DaveM@34: Row: 7190, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5191 DaveM@34: DaveM@34: Row: 5191, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7093 DaveM@34: DaveM@34: Row: 7093, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7882 DaveM@34: DaveM@34: Row: 7882, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7908 DaveM@34: DaveM@34: Row: 7908, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.822059 then node 2 elseif scvalleys_median_2>=0.822059 then node 3 else 8522 DaveM@34: 2 class = 8522 DaveM@34: 3 class = 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6660 DaveM@34: DaveM@34: Row: 6660, pDepth = 1, loss = 0.111111 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6662 DaveM@34: DaveM@34: Row: 6662, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6659 DaveM@34: DaveM@34: Row: 6659, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7744 DaveM@34: DaveM@34: Row: 7744, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7702 DaveM@34: DaveM@34: Row: 7702, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7955 DaveM@34: DaveM@34: Row: 7955, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8069 DaveM@34: DaveM@34: Row: 8069, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8179 DaveM@34: DaveM@34: Row: 8179, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5426 DaveM@34: DaveM@34: Row: 5426, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7248 DaveM@34: DaveM@34: Row: 7248, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3551 DaveM@34: DaveM@34: Row: 3551, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_1<0.234135 then node 2 elseif spectral_contrast_mean_1>=0.234135 then node 3 else 4035 DaveM@34: 2 class = 4035 DaveM@34: 3 class = 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7619 DaveM@34: DaveM@34: Row: 7619, pDepth = 1, loss = 0.075000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_var_0<0.25687 then node 2 elseif tristimulus_var_0>=0.25687 then node 3 else 6997 DaveM@34: 2 class = 6500 DaveM@34: 3 class = 6997 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6045 DaveM@34: DaveM@34: Row: 6045, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_var_0<0.25687 then node 2 elseif tristimulus_var_0>=0.25687 then node 3 else 6997 DaveM@34: 2 class = 6500 DaveM@34: 3 class = 6997 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6570 DaveM@34: DaveM@34: Row: 6570, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_var_0<0.25687 then node 2 elseif tristimulus_var_0>=0.25687 then node 3 else 6997 DaveM@34: 2 class = 6500 DaveM@34: 3 class = 6997 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8245 DaveM@34: DaveM@34: Row: 8245, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if tristimulus_var_0<0.25687 then node 2 elseif tristimulus_var_0>=0.25687 then node 3 else 6997 DaveM@34: 2 class = 6500 DaveM@34: 3 class = 6997 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8289 DaveM@34: DaveM@34: Row: 8289, pDepth = 1, loss = 0.142857 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_instantaneous_confidence_mean<0.493124 then node 2 elseif pitch_instantaneous_confidence_mean>=0.493124 then node 3 else 7695 DaveM@34: 2 class = 7695 DaveM@34: 3 class = 8058 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7078 DaveM@34: DaveM@34: Row: 7078, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_instantaneous_confidence_mean<0.493124 then node 2 elseif pitch_instantaneous_confidence_mean>=0.493124 then node 3 else 7695 DaveM@34: 2 class = 7695 DaveM@34: 3 class = 8058 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7253 DaveM@34: DaveM@34: Row: 7253, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_instantaneous_confidence_mean<0.493124 then node 2 elseif pitch_instantaneous_confidence_mean>=0.493124 then node 3 else 7695 DaveM@34: 2 class = 7695 DaveM@34: 3 class = 8058 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8370 DaveM@34: DaveM@34: Row: 8370, pDepth = 1, loss = 0.058824 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_max_12<0.311522 then node 2 elseif mfcc_max_12>=0.311522 then node 3 else 8292 DaveM@34: 2 class = 8292 DaveM@34: 3 class = 7864 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8469 DaveM@34: DaveM@34: Row: 8469, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_max_12<0.311522 then node 2 elseif mfcc_max_12>=0.311522 then node 3 else 8292 DaveM@34: 2 class = 8292 DaveM@34: 3 class = 7864 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8201 DaveM@34: DaveM@34: Row: 8201, pDepth = 1, loss = 0.125000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8393 DaveM@34: DaveM@34: Row: 8393, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7871 DaveM@34: DaveM@34: Row: 7871, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8592 DaveM@34: DaveM@34: Row: 8592, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3904 DaveM@34: DaveM@34: Row: 3904, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6962 DaveM@34: DaveM@34: Row: 6962, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7624 DaveM@34: DaveM@34: Row: 7624, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7628 DaveM@34: DaveM@34: Row: 7628, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_kurtosis_mean<1.25e-05 then node 2 elseif spectral_kurtosis_mean>=1.25e-05 then node 3 else 7626 DaveM@34: 2 class = 7464 DaveM@34: 3 class = 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8508 DaveM@34: DaveM@34: Row: 8508, pDepth = 1, loss = 0.089286 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_dmean2_5<0.0003065 then node 2 elseif beats_loudness_band_ratio_dmean2_5>=0.0003065 then node 3 else 8410 DaveM@34: 2 class = 7671 DaveM@34: 3 class = 8410 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8569 DaveM@34: DaveM@34: Row: 8569, pDepth = 2, loss = 0.102041 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.116919 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.116919 then node 3 else 8268 DaveM@34: 2 class = 7677 DaveM@34: 3 class = 8268 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8777 DaveM@34: DaveM@34: Row: 8777, pDepth = 1, loss = 0.058824 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_der_before_max_median<0.563359 then node 2 elseif max_der_before_max_median>=0.563359 then node 3 else 8455 DaveM@34: 2 class = 8599 DaveM@34: 3 class = 8455 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8801 DaveM@34: DaveM@34: Row: 8801, pDepth = 1, loss = 0.081633 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_dvar<0.299663 then node 2 elseif inharmonicity_dvar>=0.299663 then node 3 else 8481 DaveM@34: 2 class = 8481 DaveM@34: 3 class = 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6733 DaveM@34: DaveM@34: Row: 6733, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_dvar<0.299663 then node 2 elseif inharmonicity_dvar>=0.299663 then node 3 else 8481 DaveM@34: 2 class = 8481 DaveM@34: 3 class = 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7333 DaveM@34: DaveM@34: Row: 7333, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_dvar<0.299663 then node 2 elseif inharmonicity_dvar>=0.299663 then node 3 else 8481 DaveM@34: 2 class = 8481 DaveM@34: 3 class = 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6473 DaveM@34: DaveM@34: Row: 6473, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_dvar<0.299663 then node 2 elseif inharmonicity_dvar>=0.299663 then node 3 else 8481 DaveM@34: 2 class = 8481 DaveM@34: 3 class = 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8280 DaveM@34: DaveM@34: Row: 8280, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_dvar<0.299663 then node 2 elseif inharmonicity_dvar>=0.299663 then node 3 else 8481 DaveM@34: 2 class = 8481 DaveM@34: 3 class = 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8425 DaveM@34: DaveM@34: Row: 8425, pDepth = 1, loss = 0.081633 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean_1<0.107409 then node 2 elseif gfcc_dmean_1>=0.107409 then node 3 else 7683 DaveM@34: 2 class = 8160 DaveM@34: 3 class = 7683 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8612 DaveM@34: DaveM@34: Row: 8612, pDepth = 1, loss = 0.047619 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_der_before_max_min<0.542158 then node 2 elseif max_der_before_max_min>=0.542158 then node 3 else 8078 DaveM@34: 2 class = 8269 DaveM@34: 3 class = 8078 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8299 DaveM@34: DaveM@34: Row: 8299, pDepth = 1, loss = 0.033333 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_mean_4<0.303843 then node 2 elseif spectral_contrast_mean_4>=0.303843 then node 3 else 7954 DaveM@34: 2 class = 7954 DaveM@34: 3 class = 7753 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8724 DaveM@34: DaveM@34: Row: 8724, pDepth = 2, loss = 0.111111 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_1<1.5e-06 then node 2 elseif frequency_bands_dmean2_1>=1.5e-06 then node 3 else 8509 DaveM@34: 2 if frequency_bands_dvar2_26<4.5e-06 then node 4 elseif frequency_bands_dvar2_26>=4.5e-06 then node 5 else 8509 DaveM@34: 3 class = 8509 DaveM@34: 4 class = 8499 DaveM@34: 5 class = 8509 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8205 DaveM@34: DaveM@34: Row: 8205, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_1<1.5e-06 then node 2 elseif frequency_bands_dmean2_1>=1.5e-06 then node 3 else 8509 DaveM@34: 2 if frequency_bands_dvar2_26<4.5e-06 then node 4 elseif frequency_bands_dvar2_26>=4.5e-06 then node 5 else 8509 DaveM@34: 3 class = 8509 DaveM@34: 4 class = 8499 DaveM@34: 5 class = 8509 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8377 DaveM@34: DaveM@34: Row: 8377, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_1<1.5e-06 then node 2 elseif frequency_bands_dmean2_1>=1.5e-06 then node 3 else 8509 DaveM@34: 2 if frequency_bands_dvar2_26<4.5e-06 then node 4 elseif frequency_bands_dvar2_26>=4.5e-06 then node 5 else 8509 DaveM@34: 3 class = 8509 DaveM@34: 4 class = 8499 DaveM@34: 5 class = 8509 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6448 DaveM@34: DaveM@34: Row: 6448, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_1<1.5e-06 then node 2 elseif frequency_bands_dmean2_1>=1.5e-06 then node 3 else 8509 DaveM@34: 2 if frequency_bands_dvar2_26<4.5e-06 then node 4 elseif frequency_bands_dvar2_26>=4.5e-06 then node 5 else 8509 DaveM@34: 3 class = 8509 DaveM@34: 4 class = 8499 DaveM@34: 5 class = 8509 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8588 DaveM@34: DaveM@34: Row: 8588, pDepth = 1, loss = 0.022727 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_2<0.244373 then node 2 elseif spectral_contrast_max_2>=0.244373 then node 3 else 7832 DaveM@34: 2 class = 7942 DaveM@34: 3 class = 7832 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7015 DaveM@34: DaveM@34: Row: 7015, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_2<0.244373 then node 2 elseif spectral_contrast_max_2>=0.244373 then node 3 else 7832 DaveM@34: 2 class = 7942 DaveM@34: 3 class = 7832 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7659 DaveM@34: DaveM@34: Row: 7659, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_2<0.244373 then node 2 elseif spectral_contrast_max_2>=0.244373 then node 3 else 7832 DaveM@34: 2 class = 7942 DaveM@34: 3 class = 7832 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8501 DaveM@34: DaveM@34: Row: 8501, pDepth = 1, loss = 0.023810 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_mean_26<0.0001275 then node 2 elseif barkbands_mean_26>=0.0001275 then node 3 else 7668 DaveM@34: 2 class = 7668 DaveM@34: 3 class = 8122 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8535 DaveM@34: DaveM@34: Row: 8535, pDepth = 1, loss = 0.080000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_min_5<0.279003 then node 2 elseif beats_loudness_band_ratio_min_5>=0.279003 then node 3 else 8353 DaveM@34: 2 class = 7750 DaveM@34: 3 class = 8353 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8142 DaveM@34: DaveM@34: Row: 8142, pDepth = 1, loss = 0.162791 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_17<1.2e-05 then node 2 elseif barkbands_var_17>=1.2e-05 then node 3 else 7798 DaveM@34: 2 if frequency_bands_dmean2_12<0.0042235 then node 4 elseif frequency_bands_dmean2_12>=0.0042235 then node 5 else 7798 DaveM@34: 3 class = 7917 DaveM@34: 4 if frequency_bands_var_9<1.5e-05 then node 6 elseif frequency_bands_var_9>=1.5e-05 then node 7 else 7798 DaveM@34: 5 class = 7917 DaveM@34: 6 if frequency_bands_dmean2_12<8.35e-05 then node 8 elseif frequency_bands_dmean2_12>=8.35e-05 then node 9 else 7798 DaveM@34: 7 class = 7798 DaveM@34: 8 class = 7798 DaveM@34: 9 if frequency_bands_dmean2_12<0.0019425 then node 10 elseif frequency_bands_dmean2_12>=0.0019425 then node 11 else 7917 DaveM@34: 10 class = 7917 DaveM@34: 11 class = 7798 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8368 DaveM@34: DaveM@34: Row: 8368, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_17<1.2e-05 then node 2 elseif barkbands_var_17>=1.2e-05 then node 3 else 7798 DaveM@34: 2 if frequency_bands_dmean2_12<0.0042235 then node 4 elseif frequency_bands_dmean2_12>=0.0042235 then node 5 else 7798 DaveM@34: 3 class = 7917 DaveM@34: 4 if frequency_bands_var_9<1.5e-05 then node 6 elseif frequency_bands_var_9>=1.5e-05 then node 7 else 7798 DaveM@34: 5 class = 7917 DaveM@34: 6 if frequency_bands_dmean2_12<8.35e-05 then node 8 elseif frequency_bands_dmean2_12>=8.35e-05 then node 9 else 7798 DaveM@34: 7 class = 7798 DaveM@34: 8 class = 7798 DaveM@34: 9 if frequency_bands_dmean2_12<0.0019425 then node 10 elseif frequency_bands_dmean2_12>=0.0019425 then node 11 else 7917 DaveM@34: 10 class = 7917 DaveM@34: 11 class = 7798 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8382 DaveM@34: DaveM@34: Row: 8382, pDepth = 1, loss = 0.115385 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dvar2_10<5.15e-05 then node 2 elseif frequency_bands_dvar2_10>=5.15e-05 then node 3 else 6636 DaveM@34: 2 if barkbands_var_4<0.0031125 then node 4 elseif barkbands_var_4>=0.0031125 then node 5 else 6636 DaveM@34: 3 if barkbands_var_4<1.2e-05 then node 6 elseif barkbands_var_4>=1.2e-05 then node 7 else 7101 DaveM@34: 4 class = 6636 DaveM@34: 5 class = 7101 DaveM@34: 6 class = 6636 DaveM@34: 7 class = 7101 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8658 DaveM@34: DaveM@34: Row: 8658, pDepth = 1, loss = 0.090909 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_var_2<0.012531 then node 2 elseif spectral_contrast_var_2>=0.012531 then node 3 else 8274 DaveM@34: 2 class = 8445 DaveM@34: 3 class = 8274 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5730 DaveM@34: DaveM@34: Row: 5730, pDepth = 1, loss = 0.074074 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_dmean_0<0.137688 then node 2 elseif mfcc_dmean_0>=0.137688 then node 3 else 4773 DaveM@34: 2 class = 2875 DaveM@34: 3 class = 4773 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8038 DaveM@34: DaveM@34: Row: 8038, pDepth = 1, loss = 0.027778 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_dvar2<0.184306 then node 2 elseif silence_rate_60dB_dvar2>=0.184306 then node 3 else 7209 DaveM@34: 2 class = 7209 DaveM@34: 3 class = 6792 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8740 DaveM@34: DaveM@34: Row: 8740, pDepth = 2, loss = 0.181818 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_4<0.000412 then node 2 elseif frequency_bands_dmean2_4>=0.000412 then node 3 else 8496 DaveM@34: 2 class = 8496 DaveM@34: 3 if spectral_energyband_high_dvar2<0.002833 then node 4 elseif spectral_energyband_high_dvar2>=0.002833 then node 5 else 8560 DaveM@34: 4 if frequency_bands_dmean2_4<0.0095645 then node 6 elseif frequency_bands_dmean2_4>=0.0095645 then node 7 else 8560 DaveM@34: 5 class = 8496 DaveM@34: 6 if barkbands_dvar2_7<5.35e-05 then node 8 elseif barkbands_dvar2_7>=5.35e-05 then node 9 else 8560 DaveM@34: 7 class = 8560 DaveM@34: 8 class = 8560 DaveM@34: 9 class = 8496 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8758 DaveM@34: DaveM@34: Row: 8758, pDepth = 1, loss = 0.029412 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7323 DaveM@34: DaveM@34: Row: 7323, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7958 DaveM@34: DaveM@34: Row: 7958, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8594 DaveM@34: DaveM@34: Row: 8594, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8718 DaveM@34: DaveM@34: Row: 8718, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8396 DaveM@34: DaveM@34: Row: 8396, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if pitch_centroid_mean<0.711223 then node 2 elseif pitch_centroid_mean>=0.711223 then node 3 else 8655 DaveM@34: 2 class = 8655 DaveM@34: 3 class = 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8689 DaveM@34: DaveM@34: Row: 8689, pDepth = 1, loss = 0.034483 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_dmean2_3<0.318661 then node 2 elseif gfcc_dmean2_3>=0.318661 then node 3 else 8405 DaveM@34: 2 class = 8405 DaveM@34: 3 class = 8573 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8671 DaveM@34: DaveM@34: Row: 8671, pDepth = 1, loss = 0.095238 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_mean<0.875215 then node 2 elseif silence_rate_60dB_mean>=0.875215 then node 3 else 8039 DaveM@34: 2 class = 8039 DaveM@34: 3 class = 7615 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8694 DaveM@34: DaveM@34: Row: 8694, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_60dB_mean<0.875215 then node 2 elseif silence_rate_60dB_mean>=0.875215 then node 3 else 8039 DaveM@34: 2 class = 8039 DaveM@34: 3 class = 7615 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8557 DaveM@34: DaveM@34: Row: 8557, pDepth = 3, loss = 0.150685 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_skewness_min<0.963354 then node 2 elseif spectral_skewness_min>=0.963354 then node 3 else 8093 DaveM@34: 2 class = 8344 DaveM@34: 3 class = 8093 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8626 DaveM@34: DaveM@34: Row: 8626, pDepth = 1, loss = 0.076923 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_3<0.489398 then node 2 elseif beats_loudness_band_ratio_mean_3>=0.489398 then node 3 else 8355 DaveM@34: 2 class = 8355 DaveM@34: 3 class = 8422 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8566 DaveM@34: DaveM@34: Row: 8566, pDepth = 1, loss = 0.045455 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_dvar_5<0.0120155 then node 2 elseif scvalleys_dvar_5>=0.0120155 then node 3 else 8415 DaveM@34: 2 class = 8030 DaveM@34: 3 class = 8415 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8813 DaveM@34: DaveM@34: Row: 8813, pDepth = 1, loss = 0.080645 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if mfcc_max_0<0.625379 then node 2 elseif mfcc_max_0>=0.625379 then node 3 else 8627 DaveM@34: 2 class = 8627 DaveM@34: 3 class = 8653 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8603 DaveM@34: DaveM@34: Row: 8603, pDepth = 1, loss = 0.030303 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_dmean<0.036456 then node 2 elseif dissonance_dmean>=0.036456 then node 3 else 7897 DaveM@34: 2 class = 7555 DaveM@34: 3 class = 7897 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8780 DaveM@34: DaveM@34: Row: 8780, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if dissonance_dmean<0.036456 then node 2 elseif dissonance_dmean>=0.036456 then node 3 else 7897 DaveM@34: 2 class = 7555 DaveM@34: 3 class = 7897 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8789 DaveM@34: DaveM@34: Row: 8789, pDepth = 4, loss = 0.177083 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_dmean<0.0841085 then node 2 elseif spectral_entropy_dmean>=0.0841085 then node 3 else 8624 DaveM@34: 2 class = 8339 DaveM@34: 3 class = 8624 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8842 DaveM@34: DaveM@34: Row: 8842, pDepth = 2, loss = 0.153374 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_0<0.437758 then node 2 elseif scvalleys_min_0>=0.437758 then node 3 else 8803 DaveM@34: 2 class = 8803 DaveM@34: 3 class = 8754 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8656 DaveM@34: DaveM@34: Row: 8656, pDepth = 1, loss = 0.083333 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_1<0.294408 then node 2 elseif gfcc_median_1>=0.294408 then node 3 else 8498 DaveM@34: 2 class = 7813 DaveM@34: 3 class = 8498 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8667 DaveM@34: DaveM@34: Row: 8667, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_median_1<0.294408 then node 2 elseif gfcc_median_1>=0.294408 then node 3 else 8498 DaveM@34: 2 class = 7813 DaveM@34: 3 class = 8498 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8699 DaveM@34: DaveM@34: Row: 8699, pDepth = 1, loss = 0.019608 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.177665 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.177665 then node 3 else 8577 DaveM@34: 2 class = 8577 DaveM@34: 3 class = 8544 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8746 DaveM@34: DaveM@34: Row: 8746, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.177665 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.177665 then node 3 else 8577 DaveM@34: 2 class = 8577 DaveM@34: 3 class = 8544 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8640 DaveM@34: DaveM@34: Row: 8640, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.177665 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.177665 then node 3 else 8577 DaveM@34: 2 class = 8577 DaveM@34: 3 class = 8544 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8692 DaveM@34: DaveM@34: Row: 8692, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.177665 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.177665 then node 3 else 8577 DaveM@34: 2 class = 8577 DaveM@34: 3 class = 8544 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8714 DaveM@34: DaveM@34: Row: 8714, pDepth = 1, loss = 0.030769 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.538998 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.538998 then node 3 else 8507 DaveM@34: 2 class = 8507 DaveM@34: 3 class = 8261 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8792 DaveM@34: DaveM@34: Row: 8792, pDepth = 2, loss = 0.140845 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_17<0.0004845 then node 2 elseif frequency_bands_dmean2_17>=0.0004845 then node 3 else 8715 DaveM@34: 2 if tristimulus_min_1<0.008642 then node 4 elseif tristimulus_min_1>=0.008642 then node 5 else 8715 DaveM@34: 3 if frequency_bands_dmean2_17<0.001461 then node 6 elseif frequency_bands_dmean2_17>=0.001461 then node 7 else 8613 DaveM@34: 4 if frequency_bands_dmean_16<0.000217 then node 8 elseif frequency_bands_dmean_16>=0.000217 then node 9 else 8715 DaveM@34: 5 class = 8613 DaveM@34: 6 if frequency_bands_dmean_16<0.0001365 then node 10 elseif frequency_bands_dmean_16>=0.0001365 then node 11 else 8613 DaveM@34: 7 if frequency_bands_dmean_16<0.0025025 then node 12 elseif frequency_bands_dmean_16>=0.0025025 then node 13 else 8715 DaveM@34: 8 class = 8715 DaveM@34: 9 if erb_bands_dvar2_7<5.5e-06 then node 14 elseif erb_bands_dvar2_7>=5.5e-06 then node 15 else 8715 DaveM@34: 10 class = 8715 DaveM@34: 11 class = 8613 DaveM@34: 12 if frequency_bands_dmean_16<0.0011695 then node 16 elseif frequency_bands_dmean_16>=0.0011695 then node 17 else 8715 DaveM@34: 13 class = 8613 DaveM@34: 14 if tristimulus_min_1<0.000348 then node 18 elseif tristimulus_min_1>=0.000348 then node 19 else 8613 DaveM@34: 15 if frequency_bands_dmean_16<0.0002655 then node 20 elseif frequency_bands_dmean_16>=0.0002655 then node 21 else 8715 DaveM@34: 16 if erb_bands_dvar2_7<7.65e-05 then node 22 elseif erb_bands_dvar2_7>=7.65e-05 then node 23 else 8715 DaveM@34: 17 class = 8715 DaveM@34: 18 if frequency_bands_dmean2_17<0.000276 then node 24 elseif frequency_bands_dmean2_17>=0.000276 then node 25 else 8613 DaveM@34: 19 class = 8715 DaveM@34: 20 class = 8613 DaveM@34: 21 class = 8715 DaveM@34: 22 if frequency_bands_dmean2_17<0.0113015 then node 26 elseif frequency_bands_dmean2_17>=0.0113015 then node 27 else 8715 DaveM@34: 23 class = 8715 DaveM@34: 24 if frequency_bands_dmean_16<0.000512 then node 28 elseif frequency_bands_dmean_16>=0.000512 then node 29 else 8715 DaveM@34: 25 class = 8613 DaveM@34: 26 if frequency_bands_dmean2_17<0.0050595 then node 30 elseif frequency_bands_dmean2_17>=0.0050595 then node 31 else 8613 DaveM@34: 27 class = 8715 DaveM@34: 28 class = 8613 DaveM@34: 29 class = 8715 DaveM@34: 30 class = 8715 DaveM@34: 31 class = 8613 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8378 DaveM@34: DaveM@34: Row: 8378, pDepth = 1, loss = 0.108108 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_min<0.099624 then node 2 elseif first_peak_spread_min>=0.099624 then node 3 else 8129 DaveM@34: 2 class = 8129 DaveM@34: 3 class = 7757 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8531 DaveM@34: DaveM@34: Row: 8531, pDepth = 1, loss = 0.093023 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_0<1.5e-06 then node 2 elseif beats_loudness_band_ratio_max_0>=1.5e-06 then node 3 else 8476 DaveM@34: 2 class = 7554 DaveM@34: 3 class = 8476 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8604 DaveM@34: DaveM@34: Row: 8604, pDepth = 1, loss = 0.093750 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_0<0.499813 then node 2 elseif beats_loudness_band_ratio_median_0>=0.499813 then node 3 else 8225 DaveM@34: 2 class = 8225 DaveM@34: 3 class = 7956 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8702 DaveM@34: DaveM@34: Row: 8702, pDepth = 3, loss = 0.130952 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if max_der_before_max_mean<0.547416 then node 2 elseif max_der_before_max_mean>=0.547416 then node 3 else 8466 DaveM@34: 2 class = 8466 DaveM@34: 3 class = 8340 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8386 DaveM@34: DaveM@34: Row: 8386, pDepth = 2, loss = 0.125000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_median_2<0.744365 then node 2 elseif scvalleys_median_2>=0.744365 then node 3 else 8182 DaveM@34: 2 class = 8182 DaveM@34: 3 class = 7455 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8862 DaveM@34: DaveM@34: Row: 8862, pDepth = 3, loss = 0.118343 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flux_median<0.020283 then node 2 elseif spectral_flux_median>=0.020283 then node 3 else 8701 DaveM@34: 2 if spectral_skewness_median<0.0641445 then node 4 elseif spectral_skewness_median>=0.0641445 then node 5 else 8701 DaveM@34: 3 class = 8802 DaveM@34: 4 class = 8701 DaveM@34: 5 class = 8802 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8737 DaveM@34: DaveM@34: Row: 8737, pDepth = 2, loss = 0.132530 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_rms_max<0.181331 then node 2 elseif spectral_rms_max>=0.181331 then node 3 else 8681 DaveM@34: 2 class = 8681 DaveM@34: 3 class = 8372 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8899 DaveM@34: DaveM@34: Row: 8899, pDepth = 1, loss = 0.022727 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7673 DaveM@34: DaveM@34: Row: 7673, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8361 DaveM@34: DaveM@34: Row: 8361, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8190 DaveM@34: DaveM@34: Row: 8190, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8417 DaveM@34: DaveM@34: Row: 8417, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8433 DaveM@34: DaveM@34: Row: 8433, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8700 DaveM@34: DaveM@34: Row: 8700, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_2<6.5e-06 then node 2 elseif beats_loudness_band_ratio_var_2>=6.5e-06 then node 3 else 8847 DaveM@34: 2 class = 8847 DaveM@34: 3 class = 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8610 DaveM@34: DaveM@34: Row: 8610, pDepth = 1, loss = 0.064516 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dvar_1<0.001967 then node 2 elseif frequency_bands_dvar_1>=0.001967 then node 3 else 8407 DaveM@34: 2 class = 7899 DaveM@34: 3 class = 8407 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8666 DaveM@34: DaveM@34: Row: 8666, pDepth = 1, loss = 0.047619 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if erb_bands_median_1<5e-07 then node 2 elseif erb_bands_median_1>=5e-07 then node 3 else 8314 DaveM@34: 2 class = 7766 DaveM@34: 3 class = 8314 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8089 DaveM@34: DaveM@34: Row: 8089, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if erb_bands_median_1<5e-07 then node 2 elseif erb_bands_median_1>=5e-07 then node 3 else 8314 DaveM@34: 2 class = 7766 DaveM@34: 3 class = 8314 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8782 DaveM@34: DaveM@34: Row: 8782, pDepth = 1, loss = 0.062500 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if frequency_bands_dmean2_15<1.5e-06 then node 2 elseif frequency_bands_dmean2_15>=1.5e-06 then node 3 else 8556 DaveM@34: 2 class = 8695 DaveM@34: 3 class = 8556 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8709 DaveM@34: DaveM@34: Row: 8709, pDepth = 1, loss = 0.095238 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_weight_min<0.816666 then node 2 elseif first_peak_weight_min>=0.816666 then node 3 else 8518 DaveM@34: 2 class = 8413 DaveM@34: 3 class = 8518 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8796 DaveM@34: DaveM@34: Row: 8796, pDepth = 3, loss = 0.172727 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.24911 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.24911 then node 3 else 8756 DaveM@34: 2 class = 8756 DaveM@34: 3 class = 8636 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8810 DaveM@34: DaveM@34: Row: 8810, pDepth = 2, loss = 0.103448 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_1<0.222984 then node 2 elseif beats_loudness_band_ratio_max_1>=0.222984 then node 3 else 8638 DaveM@34: 2 class = 8638 DaveM@34: 3 class = 8631 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8878 DaveM@34: DaveM@34: Row: 8878, pDepth = 1, loss = 0.044776 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_3<5e-07 then node 2 elseif beats_loudness_band_ratio_median_3>=5e-07 then node 3 else 8855 DaveM@34: 2 class = 8732 DaveM@34: 3 class = 8855 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7450 DaveM@34: DaveM@34: Row: 7450, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_3<5e-07 then node 2 elseif beats_loudness_band_ratio_median_3>=5e-07 then node 3 else 8855 DaveM@34: 2 class = 8732 DaveM@34: 3 class = 8855 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8917 DaveM@34: DaveM@34: Row: 8917, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_3<5e-07 then node 2 elseif beats_loudness_band_ratio_median_3>=5e-07 then node 3 else 8855 DaveM@34: 2 class = 8732 DaveM@34: 3 class = 8855 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8590 DaveM@34: DaveM@34: Row: 8590, pDepth = 1, loss = 0.018868 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_0<0.145259 then node 2 elseif beats_loudness_band_ratio_median_0>=0.145259 then node 3 else 7867 DaveM@34: 2 class = 7699 DaveM@34: 3 class = 7867 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8648 DaveM@34: DaveM@34: Row: 8648, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_median_0<0.145259 then node 2 elseif beats_loudness_band_ratio_median_0>=0.145259 then node 3 else 7867 DaveM@34: 2 class = 7699 DaveM@34: 3 class = 7867 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8596 DaveM@34: DaveM@34: Row: 8596, pDepth = 1, loss = 0.113208 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if logattacktime_max<0.590546 then node 2 elseif logattacktime_max>=0.590546 then node 3 else 8328 DaveM@34: 2 class = 8328 DaveM@34: 3 class = 8133 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8642 DaveM@34: DaveM@34: Row: 8642, pDepth = 1, loss = 0.049587 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_30dB_dvar2<0.015404 then node 2 elseif silence_rate_30dB_dvar2>=0.015404 then node 3 else 8343 DaveM@34: 2 class = 8343 DaveM@34: 3 class = 8559 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8673 DaveM@34: DaveM@34: Row: 8673, pDepth = 1, loss = 0.102041 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_max_1<0.593168 then node 2 elseif scvalleys_max_1>=0.593168 then node 3 else 8428 DaveM@34: 2 class = 8234 DaveM@34: 3 class = 8428 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8713 DaveM@34: DaveM@34: Row: 8713, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_max_1<0.593168 then node 2 elseif scvalleys_max_1>=0.593168 then node 3 else 8428 DaveM@34: 2 class = 8234 DaveM@34: 3 class = 8428 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8742 DaveM@34: DaveM@34: Row: 8742, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_max_1<0.593168 then node 2 elseif scvalleys_max_1>=0.593168 then node 3 else 8428 DaveM@34: 2 class = 8234 DaveM@34: 3 class = 8428 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8851 DaveM@34: DaveM@34: Row: 8851, pDepth = 5, loss = 0.162963 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flatness_db_dvar<0.022638 then node 2 elseif spectral_flatness_db_dvar>=0.022638 then node 3 else 8717 DaveM@34: 2 class = 8580 DaveM@34: 3 class = 8717 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8458 DaveM@34: DaveM@34: Row: 8458, pDepth = 1, loss = 0.105263 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_entropy_var<0.008238 then node 2 elseif spectral_entropy_var>=0.008238 then node 3 else 8104 DaveM@34: 2 class = 7759 DaveM@34: 3 class = 8104 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8618 DaveM@34: DaveM@34: Row: 8618, pDepth = 2, loss = 0.109091 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if zerocrossingrate_max<0.495847 then node 2 elseif zerocrossingrate_max>=0.495847 then node 3 else 8545 DaveM@34: 2 class = 7886 DaveM@34: 3 class = 8545 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8817 DaveM@34: DaveM@34: Row: 8817, pDepth = 2, loss = 0.058824 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if scvalleys_min_1<0.063374 then node 2 elseif scvalleys_min_1>=0.063374 then node 3 else 8728 DaveM@34: 2 class = 8649 DaveM@34: 3 class = 8728 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8830 DaveM@34: DaveM@34: Row: 8830, pDepth = 4, loss = 0.154545 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_decrease_mean<0.89364 then node 2 elseif spectral_decrease_mean>=0.89364 then node 3 else 8674 DaveM@34: 2 class = 8646 DaveM@34: 3 class = 8674 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8521 DaveM@34: DaveM@34: Row: 8521, pDepth = 2, loss = 0.096154 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.644724 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.644724 then node 3 else 8079 DaveM@34: 2 class = 7543 DaveM@34: 3 class = 8079 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8800 DaveM@34: DaveM@34: Row: 8800, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_0<0.644724 then node 2 elseif beats_loudness_band_ratio_mean_0>=0.644724 then node 3 else 8079 DaveM@34: 2 class = 7543 DaveM@34: 3 class = 8079 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8845 DaveM@34: DaveM@34: Row: 8845, pDepth = 3, loss = 0.120253 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energyband_high_max<0.001368 then node 2 elseif spectral_energyband_high_max>=0.001368 then node 3 else 8825 DaveM@34: 2 class = 8825 DaveM@34: 3 class = 8704 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8889 DaveM@34: DaveM@34: Row: 8889, pDepth = 1, loss = 0.027322 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6804 DaveM@34: DaveM@34: Row: 6804, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7906 DaveM@34: DaveM@34: Row: 7906, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6948 DaveM@34: DaveM@34: Row: 6948, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8009 DaveM@34: DaveM@34: Row: 8009, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7066 DaveM@34: DaveM@34: Row: 7066, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7381 DaveM@34: DaveM@34: Row: 7381, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6675 DaveM@34: DaveM@34: Row: 6675, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_max<0.431704 then node 2 elseif first_peak_spread_max>=0.431704 then node 3 else 8779 DaveM@34: 2 class = 8779 DaveM@34: 3 class = 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7995 DaveM@34: DaveM@34: Row: 7995, pDepth = 1, loss = 0.047619 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flux_dmean<0.007513 then node 2 elseif spectral_flux_dmean>=0.007513 then node 3 else 7083 DaveM@34: 2 class = 7083 DaveM@34: 3 class = 7681 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8669 DaveM@34: DaveM@34: Row: 8669, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_flux_dmean<0.007513 then node 2 elseif spectral_flux_dmean>=0.007513 then node 3 else 7083 DaveM@34: 2 class = 7083 DaveM@34: 3 class = 7681 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8820 DaveM@34: DaveM@34: Row: 8820, pDepth = 2, loss = 0.169014 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if effective_duration_min<0.103585 then node 2 elseif effective_duration_min>=0.103585 then node 3 else 8797 DaveM@34: 2 class = 8680 DaveM@34: 3 class = 8797 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8795 DaveM@34: DaveM@34: Row: 8795, pDepth = 2, loss = 0.100000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energy_var<0.0035125 then node 2 elseif spectral_energy_var>=0.0035125 then node 3 else 8762 DaveM@34: 2 class = 8762 DaveM@34: 3 class = 8558 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8859 DaveM@34: DaveM@34: Row: 8859, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energy_var<0.0035125 then node 2 elseif spectral_energy_var>=0.0035125 then node 3 else 8762 DaveM@34: 2 class = 8762 DaveM@34: 3 class = 8558 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8834 DaveM@34: DaveM@34: Row: 8834, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_energy_var<0.0035125 then node 2 elseif spectral_energy_var>=0.0035125 then node 3 else 8762 DaveM@34: 2 class = 8762 DaveM@34: 3 class = 8558 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8844 DaveM@34: DaveM@34: Row: 8844, pDepth = 3, loss = 0.180180 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_min<0.069737 then node 2 elseif first_peak_spread_min>=0.069737 then node 3 else 8676 DaveM@34: 2 class = 8676 DaveM@34: 3 class = 8647 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8849 DaveM@34: DaveM@34: Row: 8849, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if first_peak_spread_min<0.069737 then node 2 elseif first_peak_spread_min>=0.069737 then node 3 else 8676 DaveM@34: 2 class = 8676 DaveM@34: 3 class = 8647 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8853 DaveM@34: DaveM@34: Row: 8853, pDepth = 1, loss = 0.060000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6761 DaveM@34: DaveM@34: Row: 6761, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6868 DaveM@34: DaveM@34: Row: 6868, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7824 DaveM@34: DaveM@34: Row: 7824, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6110 DaveM@34: DaveM@34: Row: 6110, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7223 DaveM@34: DaveM@34: Row: 7223, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8172 DaveM@34: DaveM@34: Row: 8172, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_crest_mean<0.481765 then node 2 elseif spectral_crest_mean>=0.481765 then node 3 else 8597 DaveM@34: 2 class = 8597 DaveM@34: 3 class = 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8539 DaveM@34: DaveM@34: Row: 8539, pDepth = 1, loss = 0.027778 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4617 DaveM@34: DaveM@34: Row: 4617, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7161 DaveM@34: DaveM@34: Row: 7161, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8438 DaveM@34: DaveM@34: Row: 8438, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8526 DaveM@34: DaveM@34: Row: 8526, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8486 DaveM@34: DaveM@34: Row: 8486, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8729 DaveM@34: DaveM@34: Row: 8729, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8687 DaveM@34: DaveM@34: Row: 8687, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_var_5<0.0411295 then node 2 elseif beats_loudness_band_ratio_var_5>=0.0411295 then node 3 else 8388 DaveM@34: 2 class = 7930 DaveM@34: 3 class = 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8806 DaveM@34: DaveM@34: Row: 8806, pDepth = 1, loss = 0.082353 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_20dB_dmean<0.017467 then node 2 elseif silence_rate_20dB_dmean>=0.017467 then node 3 else 8668 DaveM@34: 2 class = 8668 DaveM@34: 3 class = 8609 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8600 DaveM@34: DaveM@34: Row: 8600, pDepth = 0, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if silence_rate_20dB_dmean<0.017467 then node 2 elseif silence_rate_20dB_dmean>=0.017467 then node 3 else 8668 DaveM@34: 2 class = 8668 DaveM@34: 3 class = 8609 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8866 DaveM@34: DaveM@34: Row: 8866, pDepth = 2, loss = 0.150000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_11<0.000645 then node 2 elseif barkbands_var_11>=0.000645 then node 3 else 8809 DaveM@34: 2 class = 8809 DaveM@34: 3 if frequency_bands_max_8<0.0328895 then node 4 elseif frequency_bands_max_8>=0.0328895 then node 5 else 8839 DaveM@34: 4 class = 8839 DaveM@34: 5 if barkbands_max_21<1.9e-05 then node 6 elseif barkbands_max_21>=1.9e-05 then node 7 else 8809 DaveM@34: 6 class = 8839 DaveM@34: 7 class = 8809 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7749 DaveM@34: DaveM@34: Row: 7749, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if barkbands_var_11<0.000645 then node 2 elseif barkbands_var_11>=0.000645 then node 3 else 8809 DaveM@34: 2 class = 8809 DaveM@34: 3 if frequency_bands_max_8<0.0328895 then node 4 elseif frequency_bands_max_8>=0.0328895 then node 5 else 8839 DaveM@34: 4 class = 8839 DaveM@34: 5 if barkbands_max_21<1.9e-05 then node 6 elseif barkbands_max_21>=1.9e-05 then node 7 else 8809 DaveM@34: 6 class = 8839 DaveM@34: 7 class = 8809 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8736 DaveM@34: DaveM@34: Row: 8736, pDepth = 1, loss = 0.056604 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_mean_5<0.391387 then node 2 elseif beats_loudness_band_ratio_mean_5>=0.391387 then node 3 else 8691 DaveM@34: 2 class = 8691 DaveM@34: 3 class = 8416 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8805 DaveM@34: DaveM@34: Row: 8805, pDepth = 1, loss = 0.057971 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_1<0.574351 then node 2 elseif spectral_contrast_max_1>=0.574351 then node 3 else 8684 DaveM@34: 2 class = 8550 DaveM@34: 3 class = 8684 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8874 DaveM@34: DaveM@34: Row: 8874, pDepth = 4, loss = 0.122807 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_3<0.0886285 then node 2 elseif beats_loudness_band_ratio_max_3>=0.0886285 then node 3 else 8770 DaveM@34: 2 class = 8798 DaveM@34: 3 class = 8770 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8654 DaveM@34: DaveM@34: Row: 8654, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if beats_loudness_band_ratio_max_3<0.0886285 then node 2 elseif beats_loudness_band_ratio_max_3>=0.0886285 then node 3 else 8770 DaveM@34: 2 class = 8798 DaveM@34: 3 class = 8770 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8706 DaveM@34: DaveM@34: Row: 8706, pDepth = 1, loss = 0.044444 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_1<0.641064 then node 2 elseif spectral_contrast_max_1>=0.641064 then node 3 else 8504 DaveM@34: 2 class = 8504 DaveM@34: 3 class = 8192 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8822 DaveM@34: DaveM@34: Row: 8822, pDepth = 1, loss = 0.063291 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if inharmonicity_mean<0.0065225 then node 2 elseif inharmonicity_mean>=0.0065225 then node 3 else 8763 DaveM@34: 2 class = 8651 DaveM@34: 3 class = 8763 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8887 DaveM@34: DaveM@34: Row: 8887, pDepth = 6, loss = 0.137566 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_var<0.0022275 then node 2 elseif spectral_centroid_var>=0.0022275 then node 3 else 8818 DaveM@34: 2 class = 8685 DaveM@34: 3 class = 8818 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8593 DaveM@34: DaveM@34: Row: 8593, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_var<0.0022275 then node 2 elseif spectral_centroid_var>=0.0022275 then node 3 else 8818 DaveM@34: 2 class = 8685 DaveM@34: 3 class = 8818 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8793 DaveM@34: DaveM@34: Row: 8793, pDepth = 1, loss = 1.000000 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_centroid_var<0.0022275 then node 2 elseif spectral_centroid_var>=0.0022275 then node 3 else 8818 DaveM@34: 2 class = 8685 DaveM@34: 3 class = 8818 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8867 DaveM@34: DaveM@34: Row: 8867, pDepth = 1, loss = 0.047619 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if gfcc_mean_0<0.826244 then node 2 elseif gfcc_mean_0>=0.826244 then node 3 else 8751 DaveM@34: 2 class = 8751 DaveM@34: 3 class = 8814 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8907 DaveM@34: DaveM@34: Row: 8907, pDepth = 3, loss = 0.106280 DaveM@34: DaveM@34: Decision tree for classification DaveM@34: 1 if spectral_contrast_max_4<0.46882 then node 2 elseif spectral_contrast_max_4>=0.46882 then node 3 else 8892 DaveM@34: 2 class = 8892 DaveM@34: 3 class = 8787 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7000 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6920 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7265 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7536 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6798 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7374 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4902 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6179 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8193 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7938 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8055 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8023 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8281 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6958 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7244 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7873 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7796 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8034 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8350 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7936 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8411 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5805 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6364 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6233 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7341 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8080 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1987 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6722 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7116 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7674 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6367 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8135 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7974 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8356 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7961 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8607 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8571 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8639 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8505 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8766 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8663 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8705 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7946 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8228 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7558 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8186 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5006 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6126 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6974 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8352 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8303 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8643 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8620 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8778 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8576 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8591 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8625 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8733 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7703 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8436 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8452 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8664 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8091 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8219 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8522 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8547 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8511 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8575 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8524 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8326 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8561 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8439 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8461 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2361 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4119 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5299 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6338 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6445 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1901 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5174 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6530 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6766 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5504 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7581 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4035 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6376 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4761 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4901 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5111 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5235 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6597 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7428 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6652 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6934 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7035 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7266 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7200 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7770 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6283 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7875 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2898 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4236 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3680 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4806 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 408 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1764 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6500 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6997 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5716 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6307 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6572 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7451 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7695 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8058 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5497 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6565 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5891 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7864 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8292 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8252 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7464 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7626 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6713 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7971 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6905 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7317 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7377 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8070 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4199 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6035 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5745 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6282 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5878 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6292 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7671 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8410 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7677 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8268 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8455 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8599 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8444 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8481 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5364 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5588 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 975 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5963 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4818 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5569 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7495 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7539 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7683 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8160 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8078 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8269 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7753 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7954 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8499 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8509 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7501 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7647 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7403 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7982 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1976 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6207 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7832 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7942 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1267 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5934 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6854 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7127 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7668 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8122 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7750 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8353 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7798 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7917 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7551 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8094 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6636 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7101 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8274 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8445 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2875 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4773 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6792 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7209 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8496 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8560 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8159 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8655 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4991 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7207 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7274 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7837 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8120 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8385 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7002 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8532 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7872 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8165 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8405 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8573 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7615 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8039 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8297 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8349 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8093 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8344 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8355 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8422 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8030 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8415 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8627 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8653 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7555 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7897 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8440 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8541 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8339 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8624 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8754 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8803 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7813 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8498 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7967 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8351 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8544 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8577 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7593 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8536 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8357 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8448 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8068 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8523 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8261 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8507 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8613 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8715 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7757 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8129 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7554 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8476 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7956 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8225 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8340 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8466 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7455 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8182 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8701 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8802 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8372 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8681 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8827 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8847 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5391 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6286 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7176 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7933 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6836 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7794 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8041 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8162 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7975 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8101 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8278 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8565 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7899 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8407 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7766 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8314 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7158 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8556 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8695 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8413 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8518 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8636 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8756 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8631 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8638 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8732 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8855 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6316 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6833 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8836 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8877 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7699 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7867 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8242 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8478 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8133 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8328 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8343 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8559 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8234 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8428 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8026 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8582 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6507 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8634 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8580 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8717 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7759 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8104 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7886 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8545 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8649 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8728 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8646 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8674 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7543 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8079 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8298 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8503 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8704 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8825 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8749 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8779 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4206 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5023 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6321 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7205 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 212 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4207 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7043 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7316 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2939 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4764 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5856 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6814 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3520 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5353 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7083 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7681 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8475 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8564 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8680 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8797 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8558 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8762 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8672 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8757 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8752 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8776 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8647 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8676 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8570 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8753 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8597 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8747 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4829 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5765 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1064 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7601 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 2998 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 5736 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 6396 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4960 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7421 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7930 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8388 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3010 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8029 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8238 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4631 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7459 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7519 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8206 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 7592 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8470 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8115 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8495 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8609 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8668 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 1035 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 3893 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8809 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8839 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4664 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 4723 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8416 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8691 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8550 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8684 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8770 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8798 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8406 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8578 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8192 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8504 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8651 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8763 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8685 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8818 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8149 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8402 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8454 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8527 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8751 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8814 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8787 DaveM@34: DaveM@34: DaveM@34: row = DaveM@34: DaveM@34: 8892 DaveM@34: