One of the fundamental concepts in machine learning is the Confusion Matrix, F1 score, Precision, Recall. Combined with Cross-Validation, it’s how we decide which machine learning method would be best for our dataset. Check out the video to find out how!

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Machine Learning: Confusion Matrix, F1-Score, Precision, Recall
12.00 GEEK