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assignments:assignment3 [CS545 fall 2016]

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assignments:assignment3 [2015/10/02 12:10]
asa
assignments:assignment3 [2015/10/02 12:12]
asa
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 d1scta_,​a.1.1.2 31417:1.0 32645:1.0 39208:1.0 42164:1.0 .... d1scta_,​a.1.1.2 31417:1.0 32645:1.0 39208:1.0 42164:1.0 ....
 </​code>​ </​code>​
-The first column is the ID of the protein, the second is the class it belongs to (the values for the class variable are ''​a.1.1.2'',​ which is the given class of proteins, and ''​rest''​ which is the negative class representing the rest of the database), and the rest of the elements ​are pairs of the form ''​feature_id:​value'' ​an id of a feature and the value associated with it.+The first column is the ID of the protein, the second is the class it belongs to (the values for the class variable are ''​a.1.1.2'',​ which is the given class of proteins, and ''​rest''​ which is the negative class representing the rest of the database)the remainder consists ​of elements of the form ''​feature_id:​value''​which provide ​an id of a feature and the value associated with it.
 This is an extension of the format used by LibSVM, that scikit-learn can read. This is an extension of the format used by LibSVM, that scikit-learn can read.
-See a discussion [[http://​scikit-learn.org/​stable/​datasets/#​datasets-in-svmlight-libsvm-format | here]].+See a discussion ​of this format and how to read it [[http://​scikit-learn.org/​stable/​datasets/#​datasets-in-svmlight-libsvm-format | here]].
  
 We note that the data is very high dimensional since We note that the data is very high dimensional since
assignments/assignment3.txt ยท Last modified: 2016/09/20 09:34 by asa