Question

___ is one of the parameters for evaluating a model’s performance and is defined as the fraction of positive cases that are correctly identified.

• A. Precision
• B. Accuracy
• C. Recall
• D. F1

Hint:

Precision helps assess the accuracy of positive predictions made by the model, ensuring fewer false positives.

Answer 1

The Correct Option is A

Precision is a metric used to evaluate the performance of a classification model. It measures the proportion of true positive predictions out of all the positive predictions made by the model. In other words, precision tells us how many of the predicted positive cases are actually correct. A high precision indicates that the model does not frequently misclassify negative cases as positive.