A model has 98% training accuracy and 72% test accuracy. Which of the

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A model has 98% training accuracy and 72% test accuracy. Which of the following is the most likely explanation? (i) High bias (ii) Overfitting (iii) Underfitting (iv) Insufficient features

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Answer: (ii) Overfitting

Training accuracy is high (98%) but test accuracy is much lower (72%), indicating the model fits training-specific patterns and generalizes poorly. This is a typical high-variance/overfitting pattern.

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