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For questions related to the concept of overfitting in machine learning, which can be loosely defined as the gap between the performance on the training set and the performance on the test set.

5 votes
2 answers
8k views

Why did the L1/L2 regularization technique not improve my accuracy?

When I used the L1 or L2 regularization technique, my problem (overfitting problem) got worst. I tried different values for lambdas (the penalty parameter 0.0001, 0.001, 0.01, 0.1, 1.0 and 5.0). …
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