Best Explanation of Confusion Matrix False Positive False Negative so far

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This video titled "Best Explanation of Confusion Matrix False Positive False Negative so far" explains the concepts of False Positive, False Negative, Type I Error, Type II Error and Confusion Matrix in an easy to understand manner. One won't forget the concept after watching this video. This will lay the foundation of evaluating classification family of algorithms like Logistic Regression, Support Vector Machine, K Nearest Neighbour, Decision Trees, Random Forest etc.


Subtitles available in: English



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