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Table 8 Results for individual extracted set of features using ISIC-MSK dataset

From: An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

Classifier Selected features Performance measures   
  Color HOG Harlick Sensitivity % Precision % Specificity FNR % FPR Accuracy %
DT    89.4 89.65 0.919 10.3 0.105 89.7
     92.25 93.10 0.944 6.9 0.06 93.1
    80.95 82.15 0.888 18.3 0.18 81.7
QDA    86.05 86.05 0.875 13.8 0.13 86.2
     94.30 93.85 0.894 6.2 0.05 93.8
    70.73 73.25 0.769 26.6 0.26 73.4
Q-SVM    95.6 95.75 0.956 4.1 0.03 95.9
     95.5 95.46 0.956 4.5 0.04 95.5
    82.05 82.3 0.856 17.6 0.17 82.4
LR    92.05 92.7 0.956 7.6 0.07 92.4
     95.1 95.1 0.956 4.8 0.04 95.2
    81.45 82.25 0.875 17.9 0.18 82.1
N-B    90.9 91.8 0.956 8.6 0.08 91.4
     93.95 94.2 0.956 5.9 0.05 94.1
    82.2 83.95 0.913 16.9 0.03 83.1
W-KNN    90.9 91.9 0.956 8.6 0.08 91.4
     93.95 94.2 0.956 5.9 0.05 94.1
    81.15 84.2 0.938 17.6 0.08 82.4
EBT    91.45 91.85 0.994 8.3 0.08 91.7
     93.35 93.4 0.944 6.6 0.06 93.4
    81.45 82.25 0.875 17.9 0.18 82.1
ESD    86.95 88.05 0.931 12.4 0.125 87.6
     95.5 95.45 0.956 4.5 0.04 95.5
    78.0 79.5 0.875 21.0 0.21 79.0
Cubic KNN    93.25 93.5 0.95 6.6 0.06 93.4
     93.15 92.7 0.973 7.2 0.07 92.8
    76.6 76.6 0.788 23.1 0.23 76.9
Proposed    95.85 95.85 0.963 4.1 0.03 95.9
     97.1 96.75 0.963 3.8 0.02 96.2
    82.55 84.7 0.913 16.6 0.13 83.4