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Table 12 Proposed classification results on all selected diseases

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

Classification results of all selected disease
Classification method Performance measures
  FPR Sen (%) Prec (%) FNR (%) Accuracy (%)
DT 0.041 87.31 87.30 12.6 87.4
QDA 0.038 88.22 88.92 11.5 88.5
Q SVM 0.022 92.90 93.37 6.9 93.1
F-KNN 0.013 95.00 94.82 5.2 94.8
W-KNN 0.010 95.52 95.42 4.6 95.4
EBT 0.020 93.55 94.00 6.3 93.7
ESDA 0.009 95.92 96.07 4.0 96.0
M-Class SVM 0.002 97.05 97.60 2.3 97.7
  1. The bold values indicate best results