Introduction to machine learning · Question 27 of 60
What needs to be done if the model performs significantly worse on the independent test dataset than during evaluation?
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Answer
- A If necessary, return to model generation or even to data preparation
Explanation
Testing checks whether the model meets the agreed performance criteria, and the results are compared with those from the evaluation. If performance with independent test data is significantly lower, it may be necessary to return to model generation or even to data preparation and train a new model.