Evaluation Methods for Machine Learning
Contents
Contents
PDFPreface
PDFMachine Learning as an Experimental Science (Revisited)
PDFWhy Question Machine Learning Evaluation Methods (An Illustrative Review of the Shortcomings of Current Methods)
PDFEvaluating Model Selection Abilities of Performance Measures
PDFEvaluating Probability Estimates from Decision Trees
PDFBeyond Accuracy, F-score and ROC: A Family of Discriminant Measures for Performance Evaluation
PDFEvaluation of Classifiers: Practical Considerations for Security Applications
PDFConfidence Interval for the Difference in Classification Error
PDFEvaluating the Explanatory Value of Bayesian Network Structure Learning Algorithms
PDFOrganizing Committee
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