Question: What does a high value of precision indicate in a classification model?
Options:
High true positive rate
Low false positive rate
High false negative rate
Low true negative rate
Correct Answer: Low false positive rate
Solution:
High precision indicates that a large proportion of positive identifications were actually correct.
What does a high value of precision indicate in a classification model?
Practice Questions
Q1
What does a high value of precision indicate in a classification model?
High true positive rate
Low false positive rate
High false negative rate
Low true negative rate
Questions & Step-by-Step Solutions
What does a high value of precision indicate in a classification model?
Step 1: Understand what precision means. Precision is a measure used in classification models to evaluate how many of the predicted positive cases were actually correct.
Step 2: Identify the components of precision. Precision is calculated as the number of true positive predictions divided by the total number of positive predictions (true positives + false positives).
Step 3: Recognize what a high precision value indicates. A high precision value means that when the model predicts a positive case, it is likely to be correct.
Step 4: Conclude that high precision is important in scenarios where false positives are costly or undesirable, as it shows reliability in positive predictions.
No concepts available.
Soulshift Feedback×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy?
