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Using a single metric evaluation metric

Precision (% of examples recognized as class 1, were class 1) Recall (% of actual class1 were correctly identified)

• Classifier A: Precision: 95%, Recall: 90%
• Classifier B: Precision: 98%, Recall: 85%