diff notebooks/results_for_30_seconds.ipynb @ 82:4395037087b6 branch-tests

notebooks

--- a/notebooks/results_for_30_seconds.ipynb	Tue Sep 26 14:37:28 2017 +0100
+++ b/notebooks/results_for_30_seconds.ipynb	Tue Sep 26 21:18:26 2017 +0100
@@ -204,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "scrolled": true
    },
@@ -213,138 +213,127 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/import/c4dm-04/mariap/lda_data_melodia_8_30sec.pickle\n",
+      "/import/c4dm-04/mariap/lda_data_melodia_8_30sec.pickle\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/homes/mp305/anaconda/lib/python2.7/site-packages/sklearn/metrics/classification.py:1113: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
+      "  'precision', 'predicted', average, warn_for)\n",
+      "/homes/mp305/anaconda/lib/python2.7/site-packages/sklearn/discriminant_analysis.py:455: UserWarning: The priors do not sum to 1. Renormalizing\n",
+      "  UserWarning)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "KNN LDA 0.151978449974\n",
       "LDA LDA 0.320669835863\n",
       "SVM LDA 0.0231101788399\n",
-      "RF LDA 0.0707681464082\n",
+      "RF LDA 0.0750711341437\n",
       "KNN LDA 0.0547390436205\n",
       "LDA LDA 0.150312531138\n",
       "SVM LDA 0.0787628988868\n",
-      "RF LDA 0.0311176089141\n",
+      "RF LDA 0.0325169847578\n",
       "KNN LDA 0.0232330458268\n",
       "LDA LDA 0.0702474072041\n",
       "SVM LDA 0.050068706152\n",
-      "RF LDA 0.0168479682586\n",
+      "RF LDA 0.0221962788765\n",
       "KNN LDA 0.281733731607\n",
       "LDA LDA 0.198582742899\n",
       "SVM LDA 0.296355560166\n",
-      "RF LDA 0.150028594255\n",
+      "RF LDA 0.138929482109\n",
       "KNN LDA 0.0857923493684\n",
       "LDA LDA 0.107355289483\n",
       "SVM LDA 0.0896098014444\n",
-      "RF LDA 0.0507616592735\n",
+      "RF LDA 0.0520582564401\n",
       "/import/c4dm-04/mariap/pca_data_melodia_8_30sec.pickle\n",
       "KNN PCA 0.140643930221\n",
       "LDA PCA 0.175099072208\n",
       "SVM PCA 0.0149273059799\n",
-      "RF PCA 0.0456009299668\n",
+      "RF PCA 0.0436883799804\n",
       "KNN PCA 0.052516908106\n",
       "LDA PCA 0.055028942176\n",
       "SVM PCA 0.0479512645907\n",
-      "RF PCA 0.0263226873341\n",
+      "RF PCA 0.0293191117144\n",
       "KNN PCA 0.0268729640269\n",
       "LDA PCA 0.0459303318699\n",
       "SVM PCA 0.0386730267598\n",
-      "RF PCA 0.0186964838343\n",
+      "RF PCA 0.0200505661024\n",
       "KNN PCA 0.220850433533\n",
       "LDA PCA 0.161502657527\n",
       "SVM PCA 0.245790916558\n",
-      "RF PCA 0.139792959142\n",
+      "RF PCA 0.109652967294\n",
       "KNN PCA 0.0814272808267\n",
       "LDA PCA 0.0839732813486\n",
       "SVM PCA 0.0918638232782\n",
-      "RF PCA 0.0445219060784\n",
+      "RF PCA 0.0512694004704\n",
       "/import/c4dm-04/mariap/nmf_data_melodia_8_30sec.pickle\n",
       "KNN NMF 0.114298949339\n",
       "LDA NMF 0.178244078869\n",
       "SVM NMF 0.0164055663008\n",
-      "RF NMF 0.0629920627191\n",
+      "RF NMF 0.0603986437872\n",
       "KNN NMF 0.043057794756\n",
       "LDA NMF 0.0586662842996\n",
       "SVM NMF 0.00781273342686\n",
-      "RF NMF 0.0322137767606\n",
+      "RF NMF 0.0394888564357\n",
       "KNN NMF 0.0285281454673\n",
       "LDA NMF 0.0463659955869\n",
       "SVM NMF 0.00768887594564\n",
-      "RF NMF 0.020364413503\n",
+      "RF NMF 0.0243236536555\n",
       "KNN NMF 0.177819886656\n",
       "LDA NMF 0.166221515627\n",
       "SVM NMF 0.010788613595\n",
-      "RF NMF 0.125503851218\n",
+      "RF NMF 0.125063096463\n",
       "KNN NMF 0.0795454671166\n",
       "LDA NMF 0.0856428557896\n",
       "SVM NMF 0.0116920633048\n",
-      "RF NMF 0.0415516315034\n",
+      "RF NMF 0.0410278341205\n",
       "/import/c4dm-04/mariap/ssnmf_data_melodia_8_30sec.pickle\n",
       "KNN SSNMF 0.14322692821\n",
       "LDA SSNMF 0.18320247367\n",
       "SVM SSNMF 0.0205784326384\n",
-      "RF SSNMF 0.0453718187022\n",
+      "RF SSNMF 0.0459476869017\n",
       "KNN SSNMF 0.0431300683181\n",
       "LDA SSNMF 0.0533449581285\n",
       "SVM SSNMF 0.0106542141335\n",
-      "RF SSNMF 0.031229373819\n",
+      "RF SSNMF 0.0267217709348\n",
       "KNN SSNMF 0.0152235481009\n",
       "LDA SSNMF 0.038872838043\n",
       "SVM SSNMF 0.00536127803533\n",
-      "RF SSNMF 0.0181117619327\n",
+      "RF SSNMF 0.0196169872436\n",
       "KNN SSNMF 0.227101074174\n",
       "LDA SSNMF 0.165382484171\n",
       "SVM SSNMF 0.0184921176111\n",
-      "RF SSNMF 0.115557523856\n",
+      "RF SSNMF 0.0924443700566\n",
       "KNN SSNMF 0.0715413500709\n",
       "LDA SSNMF 0.0819764377219\n",
       "SVM SSNMF 0.0138822224913\n",
-      "RF SSNMF 0.0350133428793\n",
+      "RF SSNMF 0.0347436738199\n",
       "/import/c4dm-04/mariap/na_data_melodia_8_30sec.pickle\n",
       "KNN NA 0.140075287804\n",
       "LDA NA 0.176953549195\n",
       "SVM NA 0.0149485545637\n",
-      "RF NA 0.0826528174744\n",
+      "RF NA 0.0681836566939\n",
       "KNN NA 0.0515315452955\n",
       "LDA NA 0.0599453579616\n",
       "SVM NA 0.0468615478392\n",
-      "RF NA 0.0398757075984\n",
+      "RF NA 0.045878758841\n",
       "KNN NA 0.0273364752119\n",
       "LDA NA 0.0378819151174\n",
       "SVM NA 0.038290667129\n",
-      "RF NA 0.0317183273408\n",
+      "RF NA 0.0207492176709\n",
       "KNN NA 0.221769305159\n",
       "LDA NA 0.191217962613\n",
       "SVM NA 0.250268813953\n",
-      "RF NA 0.113553333212\n",
+      "RF NA 0.117754824997\n",
       "KNN NA 0.0814734970192\n",
       "LDA NA 0.0839348156722\n",
       "SVM NA 0.0881235182136\n",
-      "RF NA 0.0586010122134\n",
-      "\\begin{tabular}{lllrrrrr}\n",
-      "\\toprule\n",
-      "{} &      0 &    1 &         2 &         3 &         4 &         5 &         6 \\\\\n",
-      "\\midrule\n",
-      "0  &    LDA &  KNN &  0.151978 &  0.054739 &  0.023233 &  0.281734 &  0.085792 \\\\\n",
-      "1  &    LDA &  LDA &  0.320670 &  0.150313 &  0.070247 &  0.198583 &  0.107355 \\\\\n",
-      "2  &    LDA &  SVM &  0.023110 &  0.078763 &  0.050069 &  0.296356 &  0.089610 \\\\\n",
-      "3  &    LDA &   RF &  0.070768 &  0.031118 &  0.016848 &  0.150029 &  0.050762 \\\\\n",
-      "4  &    PCA &  KNN &  0.140644 &  0.052517 &  0.026873 &  0.220850 &  0.081427 \\\\\n",
-      "5  &    PCA &  LDA &  0.175099 &  0.055029 &  0.045930 &  0.161503 &  0.083973 \\\\\n",
-      "6  &    PCA &  SVM &  0.014927 &  0.047951 &  0.038673 &  0.245791 &  0.091864 \\\\\n",
-      "7  &    PCA &   RF &  0.045601 &  0.026323 &  0.018696 &  0.139793 &  0.044522 \\\\\n",
-      "8  &    NMF &  KNN &  0.114299 &  0.043058 &  0.028528 &  0.177820 &  0.079545 \\\\\n",
-      "9  &    NMF &  LDA &  0.178244 &  0.058666 &  0.046366 &  0.166222 &  0.085643 \\\\\n",
-      "10 &    NMF &  SVM &  0.016406 &  0.007813 &  0.007689 &  0.010789 &  0.011692 \\\\\n",
-      "11 &    NMF &   RF &  0.062992 &  0.032214 &  0.020364 &  0.125504 &  0.041552 \\\\\n",
-      "12 &  SSNMF &  KNN &  0.143227 &  0.043130 &  0.015224 &  0.227101 &  0.071541 \\\\\n",
-      "13 &  SSNMF &  LDA &  0.183202 &  0.053345 &  0.038873 &  0.165382 &  0.081976 \\\\\n",
-      "14 &  SSNMF &  SVM &  0.020578 &  0.010654 &  0.005361 &  0.018492 &  0.013882 \\\\\n",
-      "15 &  SSNMF &   RF &  0.045372 &  0.031229 &  0.018112 &  0.115558 &  0.035013 \\\\\n",
-      "16 &     NA &  KNN &  0.140075 &  0.051532 &  0.027336 &  0.221769 &  0.081473 \\\\\n",
-      "17 &     NA &  LDA &  0.176954 &  0.059945 &  0.037882 &  0.191218 &  0.083935 \\\\\n",
-      "18 &     NA &  SVM &  0.014949 &  0.046862 &  0.038291 &  0.250269 &  0.088124 \\\\\n",
-      "19 &     NA &   RF &  0.082653 &  0.039876 &  0.031718 &  0.113553 &  0.058601 \\\\\n",
-      "\\bottomrule\n",
-      "\\end{tabular}\n",
-      "\n"
+      "RF NA 0.0661199464142\n"
      ]
     }
    ],
@@ -354,7 +343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -368,23 +357,23 @@
       "   LDA &  KNN &  0.151978 &  0.054739 &  0.023233 &  0.281734 &  0.085792 \\\\\n",
       "   LDA &  LDA &  0.320670 &  0.150313 &  0.070247 &  0.198583 &  0.107355 \\\\\n",
       "   LDA &  SVM &  0.023110 &  0.078763 &  0.050069 &  0.296356 &  0.089610 \\\\\n",
-      "   LDA &   RF &  0.070768 &  0.031118 &  0.016848 &  0.150029 &  0.050762 \\\\\n",
+      "   LDA &   RF &  0.075071 &  0.032517 &  0.022196 &  0.138929 &  0.052058 \\\\\n",
       "   PCA &  KNN &  0.140644 &  0.052517 &  0.026873 &  0.220850 &  0.081427 \\\\\n",
       "   PCA &  LDA &  0.175099 &  0.055029 &  0.045930 &  0.161503 &  0.083973 \\\\\n",
       "   PCA &  SVM &  0.014927 &  0.047951 &  0.038673 &  0.245791 &  0.091864 \\\\\n",
-      "   PCA &   RF &  0.045601 &  0.026323 &  0.018696 &  0.139793 &  0.044522 \\\\\n",
+      "   PCA &   RF &  0.043688 &  0.029319 &  0.020051 &  0.109653 &  0.051269 \\\\\n",
       "   NMF &  KNN &  0.114299 &  0.043058 &  0.028528 &  0.177820 &  0.079545 \\\\\n",
       "   NMF &  LDA &  0.178244 &  0.058666 &  0.046366 &  0.166222 &  0.085643 \\\\\n",
       "   NMF &  SVM &  0.016406 &  0.007813 &  0.007689 &  0.010789 &  0.011692 \\\\\n",
-      "   NMF &   RF &  0.062992 &  0.032214 &  0.020364 &  0.125504 &  0.041552 \\\\\n",
+      "   NMF &   RF &  0.060399 &  0.039489 &  0.024324 &  0.125063 &  0.041028 \\\\\n",
       " SSNMF &  KNN &  0.143227 &  0.043130 &  0.015224 &  0.227101 &  0.071541 \\\\\n",
       " SSNMF &  LDA &  0.183202 &  0.053345 &  0.038873 &  0.165382 &  0.081976 \\\\\n",
       " SSNMF &  SVM &  0.020578 &  0.010654 &  0.005361 &  0.018492 &  0.013882 \\\\\n",
-      " SSNMF &   RF &  0.045372 &  0.031229 &  0.018112 &  0.115558 &  0.035013 \\\\\n",
+      " SSNMF &   RF &  0.045948 &  0.026722 &  0.019617 &  0.092444 &  0.034744 \\\\\n",
       "    NA &  KNN &  0.140075 &  0.051532 &  0.027336 &  0.221769 &  0.081473 \\\\\n",
       "    NA &  LDA &  0.176954 &  0.059945 &  0.037882 &  0.191218 &  0.083935 \\\\\n",
       "    NA &  SVM &  0.014949 &  0.046862 &  0.038291 &  0.250269 &  0.088124 \\\\\n",
-      "    NA &   RF &  0.082653 &  0.039876 &  0.031718 &  0.113553 &  0.058601 \\\\\n",
+      "    NA &   RF &  0.068184 &  0.045879 &  0.020749 &  0.117755 &  0.066120 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\n",
@@ -402,11 +391,11 @@
       "   PCA &  KNN &  0.140644 &  0.052517 &  0.026873 &  0.220850 &  0.081427 \\\\\n",
       "    NA &  KNN &  0.140075 &  0.051532 &  0.027336 &  0.221769 &  0.081473 \\\\\n",
       "   NMF &  KNN &  0.114299 &  0.043058 &  0.028528 &  0.177820 &  0.079545 \\\\\n",
-      "    NA &   RF &  0.082653 &  0.039876 &  0.031718 &  0.113553 &  0.058601 \\\\\n",
-      "   LDA &   RF &  0.070768 &  0.031118 &  0.016848 &  0.150029 &  0.050762 \\\\\n",
-      "   NMF &   RF &  0.062992 &  0.032214 &  0.020364 &  0.125504 &  0.041552 \\\\\n",
-      "   PCA &   RF &  0.045601 &  0.026323 &  0.018696 &  0.139793 &  0.044522 \\\\\n",
-      " SSNMF &   RF &  0.045372 &  0.031229 &  0.018112 &  0.115558 &  0.035013 \\\\\n",
+      "   LDA &   RF &  0.075071 &  0.032517 &  0.022196 &  0.138929 &  0.052058 \\\\\n",
+      "    NA &   RF &  0.068184 &  0.045879 &  0.020749 &  0.117755 &  0.066120 \\\\\n",
+      "   NMF &   RF &  0.060399 &  0.039489 &  0.024324 &  0.125063 &  0.041028 \\\\\n",
+      " SSNMF &   RF &  0.045948 &  0.026722 &  0.019617 &  0.092444 &  0.034744 \\\\\n",
+      "   PCA &   RF &  0.043688 &  0.029319 &  0.020051 &  0.109653 &  0.051269 \\\\\n",
       "   LDA &  SVM &  0.023110 &  0.078763 &  0.050069 &  0.296356 &  0.089610 \\\\\n",
       " SSNMF &  SVM &  0.020578 &  0.010654 &  0.005361 &  0.018492 &  0.013882 \\\\\n",
       "   NMF &  SVM &  0.016406 &  0.007813 &  0.007689 &  0.010789 &  0.011692 \\\\\n",