Performance Measures - Machine Learning with TensorFlow & scikit-learn on Python - Dr. Ahmad Bazzi
This lecture shows measures of performance for machine learning evaluation purposes.
⏲Outline⏲
00:00:00 Introduction
00:04:10 Confusion Matrix
00:07:19 Precision
00:08:59 Recall (Sensitivity)
00:10:30 F1 Score
00:11:35 Interpretations
00:15:42 Precision/Recall Tradeoff
00:17:50 Precision/Recall Adjustment
00:30:39 ROC Curve
00:33:12 Reading ROC Curves
00:33:32 AUC metric
00:34:53 Random Forest Classifier
00:37:27 Outro
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