Accuracy

Accuracy measures how close a model's predictions are to reality.

Accuracy

What is Accuracy?

Accuracy is a metric that measures how close a machine learning model's predictions are to reality. It is used to evaluate how accurate or consistent a model's results are.

Accuracy is commonly used in classification problems. A model's accuracy is calculated as the ratio of correctly classified instances to the total number of instances.

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