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Table 1 Classification performance using different feature types

From: Analyzing brain structural differences among undergraduates with different grades of self-esteem using multiple anatomical brain network

  ACC (%) AUC (%) SEN (%) SPE (%) Y (%) F (%) BAC (%)
Network features in the 4th layer 90.69 96.63 87.72 90.65 86.74 77.38 88.77
Network features in the 3rd layer 88.31 84.27 85.32 84.29 88.33 82.62 85.74
Network features in the 2nd layer 89.59 76.65 78.53 75.94 73.24 69.18 67.77
Network features in all layers 92.59 91.93 91.51 90.91 93.27 87.18 91.49
ROI features in the 4th layer 88.69 85.63 87.72 87.65 86.74 77.38 88.77
ROI features and network features in the 4th layer 94.41 95.58 94.42 93.41 92.47 92.82 92.64
Multilevel (ROI features in the 4th layer and network features in all layers) 97.26 99.88 97.27 97.41 97.12 94.53 97.27
  1. ACC: accuracy; AUC: area under receiver operating characteristic curve; SEN: sensitivity; SPE: specificity; Y: Youden’s index; F: F-score; BAC: balanced accuracy