| [142] | 1 | %MUSK2 Prediction of molecules to be musks or non-musks
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| 2 | %PRTools dataset import from UCI, 6598 objects, 166 features, 2 classes
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| 3 | %
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| 4 | % A = MUSK2
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| 5 | %
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| 6 | %DESCRIPTION
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| 7 | %This command downloads one of the UCI data sets, converts it into PRTools
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| 8 | %format and stores it locally for future use. Consult the <a href="http://archive.ics.uci.edu/ml/datasets/Musk+(Version+2)">related website</a>
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| 9 | %for further information. Please make the appropriate references in
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| 10 | %publications that make use of this dataset.
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| 11 | %
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| 12 | %A is a multiple-instance dataset. The objects are the instances. They
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| 13 | %group in 102 bags. There are two labels: (1) the Bag Label and (2) the Bag
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| 14 | %Index. Use the CHANGELABLIST command to change from labeling system. See
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| 15 | %also MULTI_LABELING
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| 16 | %
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| 17 | %SEE ALSO <a href="http://37steps.com/prtools">PRTools Guide</a>, <a href="http://archive.ics.uci.edu/ml/">UCI Website</a>
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| 18 | %DATASETS, MULTI_LABELING, CHANGELABLIST
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| 19 |
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| 20 | function a = musk2
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| 21 |
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| 22 | % UCI data is Z-compressed. No Matlab command foud for uncompressing.
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| 23 | % Load zipped data from 37steps.
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| 24 | a = pr_download_uci('Musk+(Version+2)','http://37steps.com/data/prdatasets/musk2.zip',[],[],5);
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| 25 | a = setlablistnames(a,'Bag Label',1);
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| 26 | a = feat2lab(a,1,'Bag Index');
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| 27 | a(:,2) = [];
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| 28 | a = setname(a,'Musk version 2'); |
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