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can lead to underfitting, while high variance can lead to overfitting. Here’s an example chart illustrating the bias-variance tradeoff: geeksforgeeks 19. Overfitting and underfitting: Overfitting occurs when a model learns the training data too well and performs poorly on unseen data, while