Machine Learning
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Precision Recall
Quick Definition
Metrics measuring positive prediction quality and coverage
Full Definition
Complementary evaluation metrics measuring the quality of positive predictions and coverage of actual positives.
Examples
imbalanced classification, information retrieval, F1 score
Related Terms
confusion-matrix
roc-curve
model-evaluation
More Machine Learning Terms
Regularization
Techniques constraining model complexity to prevent overfitting
Bagging
Training models on random subsets and averaging predictions
Kernel Trick
Transforming data to higher dimensions for linear separability
Hyperparameter Tuning
Finding optimal configuration values before training
Data Augmentation
Artificially increasing training data through modified copies
Model Selection
Choosing the best ML model from candidates