Skip to main content

Table 14 Classification results on the proposed feature selection approach for grapes rot leaves

From: A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Method FPR Precision (%) Sensitivity (%) Specificity (%) FNR (%) Accuracy
DT 0.074 92.25 92.55 94.3 7.6 92.4
Q-SVM 0.052 95.05 94.70 92.5 5.1 94.9
C-SVM 0.052 95.05 94.07 92.5 5.1 94.9
QDA 0.056 95.05 94.35 88.7 5.1 94.9
F-KNN 0.045 96.05 95.50 92.5 4.2 95.8
W-KNN 0.044 96.05 95.50 92.5 5.1 94.9
EBT 0.044 96.50 95.50 92.5 4.2 95.8
ESDA 0.053 95.05 94.70 92.5 5.1 94.9
M-SVM 0.037 97.10 96.25 92.5 3.4 96.6
  1. The bold values indicate best results