is there any way for extracting the values after using SVM traning model against each instance to see what value SVM has assigned to each instance for classifying the instance in either positive class or negative.. i am looking for some solution to get all the SVM based assigned valus against each instance in WEKA tool. i have been using LibSVM and LibLinear classifiers under SVM. i need those values to use for ranking
Extract SVM assigned values against each instance in WEKA
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Click Preprocess... Filter ... "Choose" Button...
Then select the Weka /Filters / Supervised / Attribute Filter "AddClassification"
In its configuration Dialog, set "OutputClassification" to "True"
Click on the "LibSVM" label to invoke the second dialog box. Configure the Classifier.
Click apply.
A new column "Classification" will be added to your dataset - but this won't perform cross-validation on your dataset. It will use the entire dataset as training dataset and thus will lead to overfitting.
Alternative (for getting predictions on cross-validated output): You can also go to the "Classifier" tab, click "More Options..." button, "Output predictions", choose "PlainText" then the predictions will show up in the big "Classifier Output" textpanel.