This note is a little break from our model homotopy series.
I have a neat example where one combines two classifiers to get a better classifier using a method I am calling “ROC surgery.” In ROC surgery we look at multiple ROC plots and decide we want to cut out a section from one the plots for use. It is a sensor fusion method to try and combine the best parts of two classifiers.
Please check it out.
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.