# 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 :

Kappa | 0.35484

## 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 4.1