CampusFin

Which metric is commonly used to evaluate classification models and represents the ratio of correctly predicted positive instances to all positive instances?

Review the verified answer and explanation for this SPSC – Sindh Public Service Commission past-paper question on CampusFin.

Which metric is commonly used to evaluate classification models and represents the ratio of correctly predicted positive instances to all positive instances? Answer: Recall

The metric that represents the ratio of correctly predicted positive instances to all actual positive instances is Recall (also known as sensitivity). It answers the question of how well the model can find all the relevant cases, specifically.

Question context

This question is part of 💻 Computing within the broader 💾 Computer Science subject and appears in the SPSC – Sindh Public Service Commission preparation collection. Reviewing the answer together with nearby questions helps reinforce the underlying concept and identify how it may appear in competitive exams.