Data Mining - University of Waikato
2016-6-14 · Data Mining: Practical Machine Learning Tools and Techniques (Chapter 5) 2 Credibility: Evaluating what’s been learned Issues: training, testing, tuning Predicting performance: confidence limits Holdout, crossvalidation, bootstrap Comparing schemes: the ttest Predicting probabilities: loss functions
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