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Model Evaluation and Selection
- Evaluation metrics: How can we measure accuracy? Other metrics to consider?
- Use validation test set of class-labeled tuples instead of training set when assessing accuracy
- Methods for estimating a classifier’s accuracy:
- Holdout method, random subsampling
- Cross-validation
- Bootstrap
- Comparing classifiers:
- Confidence intervals
- Cost-benefit analysis and ROC Curves
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