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
Feature Engineering
Creating and transforming input variables to improve performance
Decision Tree
Tree-like model splitting data based on feature values
Model Selection
Choosing the best ML model from candidates
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Reinforcement Learning ML
Learning optimal decisions through environment interaction