Analysis of Multi-Criteria Metrics for Classifier and Algorithm Evaluation

Evaluation of classifiers and supervised learning algorithms has historically been done by estimating predictive accuracy via cross-validation tests or similar methods. More recently, ROC analysis has been shown to be a good alternative. However, the characteristics can vary greatly for different domains and it has been shown that different evaluation… CONTINUE READING