Table 6 Confusion matrix and performance measures for EWA approach in wheat genotypes.
From: Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes
Performance statistics | Actual | ||
|---|---|---|---|
L | M | H | |
Prediction | |||
L | 19 | 2 | 0 |
M | 1 | 23 | 0 |
H | 0 | 0 | 14 |
Sensitivity | 0.950 | 0.920 | 1.000 |
Specificity | 0.949 | 0.971 | 1.000 |
Positive predictive value | 0.905 | 0.958 | 1.000 |
Negative predictive value | 0.974 | 0.943 | 1.000 |
Balanced accuracy | 0.949 | 0.945 | 1.000 |
F-measure | 0.927 | 0.939 | 1.000 |
