Adaptive Confidence Intervals for the Test Error in Classification
Adaptive Confidence Intervals for the Test Error in Classification
The estimated test error of a learned classifier is the most commonly reported measure of classifier performance. However, constructing a high quality point estimator of the test error has proved to be very difficult. Furthermore, common interval estimators (e.g. confidence intervals) are based on the point estimator of the test …