comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/dtree/test_zoo1.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
1 % Here the training data is adapted from UCI ML repository, 'zoo' data
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3 dtreeCPD=tree_CPD;
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5 % load data
6 fname = fullfile(BNT_HOME, 'examples', 'static', 'uci_data', 'zoo', 'zoo1.data')
7 data=load(fname);
8 data=data';
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10 data=transform_data_into_bnt_format(data, []);
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12 % learn decision tree from data
13 ns=2*ones(1,17);
14 ns(13)=6;
15 ns(17)=7;
16 dtreeCPD1=learn_params(dtreeCPD,1:17,data,ns,[],'stop_cases',5); % a node with less than 5 cases will not be splitted
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18 % evaluate on data
19 [score,outputs]=evaluate_tree_performance(dtreeCPD1,1:17,data,ns,[]);
20 fprintf('Accuracy in old training data %6.3f\n',score);
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