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Quantitative Methods
Quantitative Methods
Hard
A machine learning model achieves 95% accuracy on training data but only 58% on out-of-sample validation data. The most likely issue and most appropriate remedy are:
A
Overfitting; apply regularization (L1/L2) or reduce model complexity
B
Underfitting; increase the number of features and model depth
C
Data leakage; ensure the training data is properly randomized
D
Selection bias; collect a larger and more diverse training dataset
Select an answer to continue
Tags
#overfitting
#regularization
#model-validation
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