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Surgery on ROC Plots

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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Example ROC surgery.

Categories: data science Pragmatic Data Science Pragmatic Machine Learning Statistics Tutorials

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jmount

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

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