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In data science, accuracy is a measurement used to determine which model is best at describing the underlying patterns of a dataset.

In data science, accuracy is a measurement used to determine which model is best at describing the underlying patterns of a dataset. It is defined as:

Accuracy = Number of correct predictions / Total number of predictions


In binary classification we can further define it in terms of positives and negatives:

Accuracy = (TP + TN) / (TP + TN + FP + FN)