Identify the true statement about overfitting.

1. Overfitting cases the model to incorrectly handle training data.
2. Overfitting causes the model to correctly handle new occurrences.
3. Overfitting causes the model to incorrectly handle new occurrences.
4. Overfitting does not impact the model.

Using chance occurrences which do not generalize is called _____.

1. modeling.
2. classification.
3. prediction
4. overfitting.

Identify the true statement below:

1. we must always explicitly avoid overfitting
2. We must not avoid overfitting, and must not test for overfitting.
3. We must not explicitly avoid overfitting. We should instead always be testing for it.
4. We do not need to test for overfitting.

Which of the following is not a symptom of overfitting when applied to tree induction?

1. Very large tree.
2. Leaves contain single entities.
3. Leaves contain large sets of entities.

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