In classification tasks, what does the F1 Score represent?
Practice Questions
1 question
Q1
In classification tasks, what does the F1 Score represent?
The harmonic mean of precision and recall
The average of precision and recall
The total number of true positives
The ratio of true positives to total predictions
The F1 Score is the harmonic mean of precision and recall, providing a balance between the two metrics.
Questions & Step-by-step Solutions
1 item
Q
Q: In classification tasks, what does the F1 Score represent?
Solution: The F1 Score is the harmonic mean of precision and recall, providing a balance between the two metrics.
Steps: 6
Step 1: Understand that classification tasks involve categorizing data into different classes or labels.
Step 2: Learn about precision, which measures how many of the predicted positive cases were actually positive.
Step 3: Learn about recall, which measures how many of the actual positive cases were correctly predicted.
Step 4: Recognize that precision and recall can sometimes give different results, so we need a way to combine them.
Step 5: The F1 Score is calculated using the formula: F1 Score = 2 * (Precision * Recall) / (Precision + Recall).
Step 6: Understand that the F1 Score provides a single score that balances both precision and recall, especially useful when the classes are imbalanced.
