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
Backpropagation
Algorithm computing gradients for neural network weight updates
Machine Learning
AI subset where systems learn patterns from data
Hidden Markov Model
Statistical model with hidden states and observable outputs
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
ROC Curve
Plot showing classifier performance across thresholds
t-SNE
Nonlinear technique for visualizing high-dimensional data