Gone Fishing: 4 Metrics for Evaluating Binary Classifiers
This guide provides an intuitive overview of 4 common metrics used to evaluate machine learning classification models: accuracy, recall, specificity, and precision. Introduction A binary classifier (test, algorithm, etc.) tries to categorize observations into one of...
Gone Fishing: 4 Metrics for Evaluating Binary Classifiers
This guide provides an intuitive overview of 4 common metrics used to evaluate machine learning classification models: accuracy, recall, specificity, and precision. Introduction A binary classifier (test, algorithm, etc.) tries to categorize observations into one of...
