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How to Evaluate Your ML Models Effectively? | Evaluation Metrics in Machine Learning!
🔥 In this video we refer to the evaluation metrics used in machine learning. Confusion matrix, Accuracy, Precision, Recall and F1-Score are the most popular metrics for classification tasks. We explain the difference of each metric on a single example, showing that accuracy is well suited for balanced datasets, while other three for ...
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