Detecting Overfitting

Easy

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Your model achieves 99% accuracy on the training set but only 65% on the test set. A colleague suggests the model is underfitting. What is the correct diagnosis?

Multiple Choice

The model is underfitting because the test accuracy is low The model is overfitting because it memorized the training data and fails to generalize The model has high bias and needs more complexity The test set is too small to draw any conclusion

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Detecting Overfitting

Multiple Choice

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