Machine Learning 1 : UNIT 2: Classification PPTs

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                                                                              Unit II

Classification

1.     Training a Binary Classifier

2.     Performance Measures

3.     Measuring Accuracy Using Cross-Validation

4.     Confusion Matrix

5.     Precision and Recall

6.     Precision/Recall Trade-off

7.     The ROC Curve

8.     Multiclass Classification

9.     Error Analysis

10.  Multilabel Classification

11.  Multi Output Classification

12.  k-NN Classifier


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