Question: In a binary classification problem, what does a high recall indicate?
Options:
High true positive rate
High false positive rate
Low true negative rate
Low false negative rate
Correct Answer: High true positive rate
Solution:
High recall indicates that the model correctly identifies a large proportion of actual positive cases.
In a binary classification problem, what does a high recall indicate?
Practice Questions
Q1
In a binary classification problem, what does a high recall indicate?
High true positive rate
High false positive rate
Low true negative rate
Low false negative rate
Questions & Step-by-Step Solutions
In a binary classification problem, what does a high recall indicate?
Step 1: Understand what binary classification means. It involves categorizing data into two groups: positive and negative.
Step 2: Know what recall is. Recall measures how many actual positive cases were correctly identified by the model.
Step 3: Realize that a high recall means the model is good at finding positive cases.
Step 4: Conclude that a high recall indicates that the model misses very few actual positive cases.
Recall – Recall is a metric that measures the ability of a model to identify all relevant instances, specifically the proportion of true positives out of the total actual positives.
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