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A confusion matrix is a contingency table used to evaluate the predictive accuracy of a classifier. Confusion matrix is the 2x2 frequency table with counts "True positive", "True negative", "False positive", "False negative", relating classifying to a class of interest vs. else class. But in a broader sense, any frequency kxk crosstabulation "Predicted" x "Actual" classes can be called a confusion matrix, in the context of evaluation of a classifier.

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Rare event confusion matrix

Right now I'm gathering data collected from several individuals and manually classifying 100 randomly selected data points from each one. The condition I'm looking for is pretty rare. It occurs only …
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