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, a key metric for classification model performance, quantifies the ratio of correctly identified positive instances to all instances predicted as positive. Essentially, it indicates the accuracy of the model's positive predictions. High precision signifies that the model rarely labels negative instances as positive.