Overfitting
7 practice questionsData ScienceStep-by-step solutions
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1
Regularization techniques like L1 and L2 are used primarily to:
A.Increase overfitting
B.Penalize model complexity to reduce overfitting
C.Clean the data
D.Visualize results
2
A model that is too simple to capture the underlying pattern in the data is said to be:
A.Overfitting
B.Underfitting
C.Regularized
D.Cross-validated
3
A model that performs poorly on BOTH the training and the test data is most likely:
A.Overfitting
B.Underfitting
C.Perfectly fit
D.Leaking data
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