Assessing and Comparing Classifier Performance with ROC Curves - MachineLearningMastery.com

The most commonly reported measure of classifier performance is accuracy: the percent of correct classifications obtained. This metric has the advantage of being easy to understand and makes compar...

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Assessing and Comparing Classifier Performance with ROC Curves - MachineLearningMastery.com

Source: MachineLearningMastery.com

The most commonly reported measure of classifier performance is accuracy: the percent of correct classifications obtained. This metric has the advantage of being easy to understand and makes comparison of the performance of different classifiers trivial, but it ignores many of the factors which should be taken into account when honestly assessing the performance of […]

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