Machine Learning & Training

What Is Accuracy in Machine Learning?

Accuracy is the proportion of correct predictions a model makes out of the total number of predictions. While intuitive, it can be misleading when classes are imbalanced, since a model can score high by favoring the majority class. In such cases, metrics like precision, recall, and F1 score are more informative.