Cost-Sensitive Classifier Evaluation Using Cost Curves


Thursday, September 28, 2006, 10:00am - Thursday, September 28, 2006, 11:00am


hci, learning, visualization

The evaluation of classifier performance in a cost-sensitive setting is straightforward if the operating conditions (misclassification costs and class distributions) are fixed and known. When this is not the case, evaluation requires a method of visualizing classifier performance across the full range of possible operating conditions. This talk argues that the classic technique for classifier performance visualization -- the ROC curve – is inadequate for the needs of researchers and practitioners in several important respects. It then describes a different way of visualizing classifier performance -- the cost curve -- that overcomes these deficiencies. No familiarity with ROC curves or cost curves is necessary, they will be fully explained.

Marie desJardins

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