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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.
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