Machine Learning
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Overfitting
Quick Definition
When a model learns training data noise and fails on new data
Full Definition
A modeling error where a model learns noise in training data, negatively impacting performance on new data.
Examples
high variance, poor generalization, complex models
Related Terms
regularization
cross-validation
underfitting
More Machine Learning Terms
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Statistical model estimating binary outcome probabilities
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