Beginner Artificial Intelligence & Machine Learning
Q12 / 100

What is the bias-variance tradeoff?

Correct! Well done.

Incorrect.

The correct answer is B) The tradeoff between underfitting (high bias, oversimplified) and overfitting (high variance, oversensitive to training data)

B

Correct Answer

The tradeoff between underfitting (high bias, oversimplified) and overfitting (high variance, oversensitive to training data)

Explanation

High bias: model too simple, misses patterns (underfitting). High variance: model too complex, overfits. Total error = bias² + variance + irreducible noise. Regularization, ensemble methods, and more data help balance this.

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