Understanding Confusion Matrix Metrics (TPR, FPR, TNR, FNR) for Multi-Class Classification
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Understanding Confusion Matrix Metrics (TPR, FPR, TNR, FNR) for Multi-Class Classification
In this video, we delve into the essential metrics derived from the confusion matrix, focusing on True Positive Rate (TPR), False Positive Rate (FPR), True Negative Rate (TNR), and False Negative Rate (FNR). Understanding these metrics is crucial for evaluating the performance of multi-class classification models. Join us as we break down each ...
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