F1measuresMulti-class classificationDelta-methodA binary classification problem is common in medical field, and we often use sensitivity, specificity, accuracy, negative and positive predictive values as measures of performance of a binary predictor. In computer science, a classifier is usually evaluated...
Confidence interval for F1 measure of algorithm performance based on blocked 3×2 cross-validation In studies on the application of machine learning such as Information Retrieval (IR), the focus is typically on the estimation of the F1 measure of algorit... Y Wang,J Li,Y Li,... - 《IEEE...
imblearn.metrics.macro_averaged_mean_absolute_error() raises an exception when not all classes are represented in the ground truth. Thought I'd flag this because a similar function in sklearn behaves differently to imbalanced-learn. That function is f1_score with macro averaging. Here's an exam...