| | Precision | Recall | F1 | Support |
|---|
sAD | 0.71 | 0.8 | 0.71 | 15 |
gCID | 0.85 | 0.77 | 0.85 | 22 |
- Precision is the ratio of correctly predicted observation to the total predicted positive observations (TruePositive/TruePositive + FalsePositive), Recall is the ratio of correctly predicted positive observations to all observations in actual class (TruePositive/TruePositive + FalseNegative), F1 Score is the harmonic mean of Precision and Recall (F1 Score = 2*(Recall * Precision) / (Recall + Precision)). Support indicates class numerosity
