PyCM Report
Dataset Type : 
- Balanced
- Multi-Class Classification
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 | Description | 
| ACC | 0.83333 | Accuracy | 
| AUC | 0.8 | Area under the ROC curve | 
| TPR | 0.6 | Sensitivity, recall, hit rate, or true positive rate | 
Generated By PyCM Version 4.3