Bias-Variance Tradeoff clearly explained

This is a bit technical though.

The bias-variance tradeoff is a central concept in machine learning that describes the relationship between a model’s accuracy and its complexity. It’s a balance between a model’s ability to accurately represent data patterns and its sensitivity to fluctuations in training data.

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