Performance Measures for Machine Learning
• Sensitivity = a/(a+b) = Recall = LIFT numerator • 1 - Specificity = 1 - d/(c+d) 26 diagonal line is random prediction. 27 Properties of ROC • ROC Area: – 1.0: perfect prediction – 0.9: excellent prediction – 0.8: good prediction – 0.7: mediocre prediction – 0.6: poor prediction
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