Log Loss / Cross-Entropy Calculator
Measure probabilistic classification error using log loss / cross-entropy.
Calculator
Enter your values and calculate.
How to use this calculator
What to enter
Enter or select the following as requested: True binary labels; Predicted probabilities for class 1. Follow the units, valid ranges, examples, and options displayed beside each field.
What the result means
The statistical or model-evaluation result is computed from the supplied observations, labels, predictions, or parameter values using the metric named by the calculator. Check class definitions, positive/negative labels, averaging method, missing-data handling, and whether higher or lower values are desirable for this metric.
When to use it
Use this to evaluate data quality, model performance, or a statistical assumption. Interpret the metric alongside the dataset, baseline, class balance, and validation method rather than treating one score as proof of model quality.