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Table 8 Classification result on each extracted set of features for apple rust disease

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

Method Features Performance measures
  SLBP Harlick Color Sen (%) Spec (%) Accuracy (%)
DT    92.5 92.7 92.6
     75.5 81.8 76.6
    79.9 85.5 78.9
QSVM    93.8 92.7 90.4
     79.9 80.0 79.8
    87.2 87.3 87.2
CSVM    93.8 94.5 93.6
     80.65 81.8 80.9
    81.2 85.5 81.9
QDA    83.25 69.1 80.9
     79.25 76.4 78.7
    83.8 72.7 81.9
Fine KNN    89.5 94.5 90.4
     77.2 80.0 77.7
    88.5 87.3 88.3
WKNN    92.3 87.3 91.5
     85.9 87.3 86.2
    86.6 83.6 86.2
EBT    92.5 92.7 90.4
     85.9 87.3 86.2
    89.4 89.1 89.4
ESDA    92.5 92.7 91.5
     81.5 83.6 81.9
    88.9 85.5 88.7
Multi-class SVM    93.4 94.5 93.6
     87.6 85.5 87.2
    90.7 89.1 90.4
  1. The bold values indicate best results