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Bias-Variance Tradeoff - How do you fix bias-variance tradeoff?


Achieving a balance in the model's sensitivity to the training data is essential for addressing the bias-variance tradeoff. An inability to respond to changes in the data means that adding more datasets won't always help a model with low bias or underfitting. Increasing the variance, which usually requires adding additional data, would be the solution to the problem of excessive bias in this instance.