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Table 4 Classification result on each extracted set of features for apple scab disease

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

Method Features Measures
  SLBP Harlick Color Sen (%) Spec (%) Accuracy (%)
DT    82.45 88.0 82.4
     78.40 76.0 78.4
    54.70 44.0 54.9
QSVM    94.25 100 94.1
     76.30 68.0 76.5
    56.75 52.0 56.9
CSVM    90.25 94.04 90.2
     69.55 66.0 66.7
    62.70 60.0 62.7
QDA    88.15 84.0 88.2
     84.30 84.0 84.3
    56.75 52.0 56.9
F-KNN    90.25 92.0 90.2
     70.60 72.0 70.6
    54.85 52.0 54.9
W-KNN    90.25 92.0 90.2
     74.45 72.0 74.5
    66.45 56.0 66.7
EBT    92.25 96.0 92.2
     78.55 84.0 78.4
    62.90 56.0 62.7
ESDA    92.10 92.0 92.2
     84.30 84.0 84.3
    70.55 68.0 70.6
MSVM    94.15 96.0 94.1
     86.25 84.0 86.3
    72.40 64.0 72.5