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)
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