Machine Learning Basics: Confusion Matrix & Precision/Recall Simplified | By Dr. Ry @Stemplicity
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YouTubeProf. Ryan Ahmed
Machine Learning Basics: Confusion Matrix & Precision/Recall Simplified | By Dr. Ry @Stemplicity
This tutorial covers the basics of confusion matrix which is used to describe the performance of classification models. The tutorial will also cover the difference between True Positives, True Negatives, False Positives, and False Negatives which can be described as follows: • True positives (TP): cases when classifier predicted TRUE (they ...
35K viewsJun 27, 2019
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