Accuracy

Accuracy measures how often a machine learning model correctly predicts the outcome. It's calculated by dividing the number of correct predictions by the total number of predictions made. The formula for accuracy is: (Number of Correct Predictions) / (Total Number of Predictions).

Visit the following resources to learn more:

• @article@Accuracy | scikit-learn
• @article@Machine Learning Model Accuracy