machine-learning classification statistics
Definition
Accuracy
Accuracy is the proportion of total predictions that a classification model got correct. Formally, using the elements of the confusion matrix:
While intuitive, accuracy can be highly misleading when evaluating models on imbalanced datasets, where one class significantly outnumbers the other.