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
Active Learning
Algorithm selecting most informative data points for labeling
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
DBSCAN
Density-based clustering finding clusters of varying shapes
XGBoost
Optimized gradient boosting library for structured data
Multi-Task Learning
Training one model for multiple related tasks simultaneously