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. 2012 Sep 24;6:68. doi: 10.3389/fnsys.2012.00068

Table 2.

Classification scores (sensitivity+specificity)/2 of the mean from Monte Carlo subsampling scores (and respective standard deviation) and when training the classifiers using all released training sample (759 subjects) and predicting the released test sample (170 subjects).

Monte Carlo (%) SD (%) All training set (%)
TD VS. ADHD
AdaB 53.6 3.9 55.5
Bagg 51.5 10.0 57.9
LogB 53.0 3.7 57.4
L2L2SVMd 52.7 3.6 52.3
L2L2SVMp 52.6 3.8 54.6
L2L1SVMd 52.7 3.6 52.3
L1L2SVM 52.7 3.5 55.8
L1logR 53.0 2.8 53.8
L2logRd 53.3 3.7 57.0
L2logR 53.2 3.8 57.0
COMBINED VS. INATTENTIVE
AdaB 58.6 5.9 55.4
Bagg 58.5 7.1 59.3
LogB 58.4 7.2 60.4
L2L2SVMd 66.0 5.9 64.1
L2L2SVMp 66.0 5.9 63.2
L2L1SVMd 66.0 5.9 64.1
L1L2SVM 62.4 6.5 59.4
L1logR 64.3 6.0 63.2
L2logRd 67.0 5.6 65.1
L2logR 66.9 5.7 64.1

These results are based on ReHo+fALFF features in TD vs. ADHD classification and ReHo+fALFF+RSN4 in combined vs. inattentive ADHD classification.