AI and ML Course: What is Overfitting, and How Can You Avoid It? | Intellipaat
Overfitting occurs when a machine learning model learns the training data too well, capturing noise or random fluctuations rather than the underlying patterns. As a result, the model performs well on the training data but poorly on new, unseen data, leading to reduced generalization and predictive accuracy.
Here are some ways to avoid overfitting:
Cross-Validation: Use techniques like k-fold...
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