Calculate Negative Log Loss
Introduction & Importance
Negative Log Loss is a metric used to evaluate the performance of classification models. It’s important because…
How to Use This Calculator
- Enter the number of ‘Yes’ votes.
- Enter the number of ‘No’ votes.
- Click ‘Calculate’.
Formula & Methodology
Negative Log Loss is calculated using the formula:
-log(p) * y + -log(1 – p) * (1 – y)
where p is the predicted probability of the positive class, and y is the actual class (1 if positive, 0 if negative).
Real-World Examples
Example 1: A model predicts a positive class with a probability of 0.7, and the actual class is positive…
Data & Statistics
| Model | Negative Log Loss |
|---|---|
| Model A | 0.45 |
| Model B | 0.32 |
Expert Tips
- Tip 1: Always use the latest version of the library.
- Tip 2: Regularly update your data to ensure accurate predictions.
Interactive FAQ
What is the difference between Log Loss and Negative Log Loss?
Log Loss is the negative value of Negative Log Loss.