App Development | Overfitting & Underfitting in Machine Learning

Описание: Hi everyone, hope you're doing well.

Here working on a client app, and let’s take a quick look at overfitting and underfitting in machine learning.

Overfitting happens when a model memorizes the training data too closely—including noise—which leads to poor performance on new, unseen data.

Underfitting is the opposite—it occurs when a model is too simple to learn the underlying patterns, resulting in poor performance even on the training set.

The goal is to strike the right balance.

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