What does precision indicate in a classification task?

Practice Questions

Q1
What does precision indicate in a classification task?
  1. The ratio of true positives to the sum of true positives and false negatives
  2. The ratio of true positives to the sum of true positives and false positives
  3. The ratio of true negatives to the sum of true negatives and false positives
  4. The overall correctness of the model

Questions & Step-by-Step Solutions

What does precision indicate in a classification task?
  • Step 1: Understand that precision is a measure used in classification tasks to evaluate how well a model predicts positive outcomes.
  • Step 2: Identify what true positives (TP) are: these are the cases where the model correctly predicts a positive outcome.
  • Step 3: Identify what false positives (FP) are: these are the cases where the model incorrectly predicts a positive outcome when it is actually negative.
  • Step 4: Learn the formula for precision: Precision = True Positives / (True Positives + False Positives).
  • Step 5: Realize that a higher precision value means that when the model predicts a positive outcome, it is more likely to be correct.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely