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.
Categories: Pragmatic Data Science Tutorials
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.