Machine Learning
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ROC Curve
Quick Definition
Plot showing classifier performance across thresholds
Full Definition
A graphical plot showing classifier performance across all classification thresholds using true and false positive rates.
Examples
model comparison, threshold selection, AUC scoring
Related Terms
confusion-matrix
model-evaluation
More Machine Learning Terms
Learning Rate
Hyperparameter controlling gradient descent step size
Margin
Distance between decision boundary and nearest data points
Confusion Matrix
Table visualizing classifier performance by class predictions
Overfitting
When a model learns training data noise and fails on new data
K-Means
Partitioning data into k clusters by updating centroids
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting