Answer / Amit Kumar Attari

In Machine Learning, there's a trade-off between bias and variance. A model with low bias and high variance is prone to overfitting the training data, while a model with high bias and low variance may underfit the data. Finding the optimal balance between these two factors is crucial for building effective models.

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