I am using sklearn.svm.LinearSVC for document classification and I get a good accuracy[98%] on predict. Is there a way to find the confidence of match (like predict_proba() in SGDClassifier)?
This would help me in determining the way to handle the remaining 2%, ie the documents that do not classify to the correct category. Hopefully these documents would have low confidence ratings that would help me detect these situations. ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
