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DS-200 · Question #53
DS-200 Question #53: Real Exam Question with Answer & Explanation
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Question
Why should stop an interactive machine learning algorithm as soon as the performance of the model on a test set stops improving?
Options
- ATo avoid the need for cross-validating the model
- BTo prevent overfitting
- CTo increase the VC (VAPNIK-Chervonenkis) dimension for the model
- DTo keep the number of terms in the model as possible
- ETo maintain the highest VC (Vapnik-Chervonenkis) dimension for the model
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