Questions
Machine Learning: Fundamentals and Applications Quiz 4 Model Selection
Multiple choice
Suppose a model fits a dataset with ten features. Due to the high variance error, the user must return to the training data process. What are the possible options the user can choose?
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Step-by-Step Analysis
When a model exhibits high variance, its predictions are overly sensitive to the training data, suggesting that the model is too complex for the amount of data or features available.
Option 1: Reduce the features. By performing feature se......Login to view full explanationLog in for full answers
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