T11 - Classification II

23 Maio 2019, 14:30 • Sara C. Madeira

Model Evaluation and Selection: METRICS FOR EVALUATING CLASSIFIER PERFORMANCE, HOLDOUT METHOD AND RANDOM SUBSAMPLING, CROSS-VALIDATION, BOOTSTRAPPING.
Techniques to Improve Classification Accuracy: ensemble methods; class-imbalanced data; feature selection; dealing with missing values.