Tag: Overfitting in machine learning explained
Overfitting in Machine Learning: What it is and When it Occurs
In machine learning, overfitting refers to the phenomenon where a model performs well with training data, but does not generalize well to new, unseen data. Overfitting occurs when the model is too complex for the amount of training data. To understand overfitting, let’s look at an analogy. Imagine you are in a foreign country and…
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