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Credibility: Evaluating what's been learned. 2. Issues: training, testing, tuningPredicting performance: confidence limitsHoldout, cross-validation, bootstrapComparing schemes: the t-testPredicting probabilities: loss functionsCost-sensitive measuresEvaluating numeric predictionThe Minimum De
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