Revision history [back]

Hello there, i recently implemented a Bag of Words categorization algorithm based on the one described in this paper http://217.109.185.161/layout/set/print/content/download/20785/148346/file/2004_010.pdf.

All works well, but i'd like to measure accuracy of the classifiers using ROC curves or, perhaps, precision-recall graphs.

I can easily get the confusion matrix for each of the classifiers but i don't know what parameter should i change to get more points and actually plot the curves.

Could someone please explain this to me?

Hello there, i recently implemented a Bag of Words categorization algorithm based on the one described in this paper http://217.109.185.161/layout/set/print/content/download/20785/148346/file/2004_010.pdf.

All works well, but i'd like to measure accuracy of the classifiers using ROC curves or, perhaps, precision-recall graphs.

I can easily get the confusion matrix for each of the classifiers but i don't know what parameter i should i change to get more points and actually plot the curves.

Could someone please explain this to me?

Hello there, i recently implemented a Bag of Words categorization algorithm based on the one described in this paper http://217.109.185.161/layout/set/print/content/download/20785/148346/file/2004_010.pdf.

All works well, but i'd like to measure accuracy accuracies of the classifiers using ROC curves or, perhaps, precision-recall graphs.

I can easily get the confusion matrix for each of the classifiers but i don't know what parameter i should change to get more points and actually plot the curves.

Could someone please explain this to me?