PyCM Report
Dataset Type :
- Multi-Class Classification
- Balanced
Note 1 : Recommended statistics for this type of classification highlighted in aqua
Note 2 : The recommendation system assumes the input is the result of classification over the entire dataset, not just a subset. If the confusion matrix is based on test data classification, the recommendation may not be valid.
Confusion Matrix :
| Actual |
Predict
|
L1 |
L2 |
L3 |
| L1 |
3 |
0 |
2 |
| L2 |
0 |
1 |
1 |
| L3 |
0 |
2 |
3 |
|
Overall Statistics :
Class Statistics :
| Class |
L1 |
L2 |
L3 |
Description |
| ACC |
0.83333 |
0.75 |
0.58333 |
Accuracy |
| AUC |
0.8 |
0.65 |
0.58571 |
Area under the ROC curve |
| TPR |
0.6 |
0.5 |
0.6 |
Sensitivity, recall, hit rate, or true positive rate |
Generated By PyCM Version 4.2