Bias vs Variance Trade-off — Clearly Explained

Bias vs Variance, Overfitting vs Underfitting

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Why we need a bias-variance tradeoff

In machine learning, we collect data and build models using training data. We apply that model to test data, which the model has not seen, and do predictions. Our main aim is to reduce the prediction error.