ROC Curve & AUC Explained: Bias–Variance Trade-off with Examples | Machine Learning From Zero | L.28

In this lecture, we cover ROC Curve & AUC along with the important Bias–Variance Tradeoff,

What is ROC Curve

True Positive Rate (TPR) & False Positive Rate (FPR)

Threshold movement & classifier comparison

Area Under the Curve (AUC) interpretation

Bias–Variance Tradeoff explained simply

Overfitting vs Underfitting intuition
This lecture is essential for GATE DA under Model Evaluation, Generalization, and Machine Learning.

📌 Playlist:
https://www.youtube.com/playlist?list=PL8RhRpQueHLsfh-qDGstSB34AnXSbiGY1

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