Back Regularization: Lasso - Ridge - Elastic Net: Penalizing an Attribute in Machine Learning Model 10 Jul, 2024

Simple Analogy

Imagine you are a teacher grading student essays. You want to ensure students write high-quality essays without using too many fancy, complicated words (which can confuse readers). You introduce two rules:

1.     Rule 1 (L1 Regularization): Students should use only a few high-quality words (important features) and avoid using too many unnecessary words.

2.     Rule 2 (L2 Regularization): Students should keep their sentences simple and avoid using overly complex words.

By following these rules, students write clear and concise essays that are easier to understand (generalize better).

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