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Table 3 AUC and accuracy results with tenfold cross-validation on the labeled data

From: Semi-supervised learning for detecting human trafficking

Learner AUC Accuracy
\({\mathcal {F}}_1\) \({\mathcal {F}}_2\) \(\{{\mathcal {F}}_1, {\mathcal {F}}_2\}\) \({\mathcal {F}}_1\) \({\mathcal {F}}_2\) \(\{{\mathcal {F}}_1, {\mathcal {F}}_2\}\)
\(S^3VM-R\) 0.91 0.9 0.96 0.91 0.9 0.97
Laplacian SVM 0.9 0.9 0.9 0.91 0.9 0.92
LabelSpreading (RBF) 0.78 0.87 0.84 0.8 0.85 0.86
LabelSpreading (KNN) 0.68 0.80 0.74 0.71 0.8 0.8
Co-training (SVM) 0.82 0.94 0.92 0.85 0.94 0.93
SVM 0.82 0.9 0.91 0.85 0.92 0.93
KNN 0.76 0.91 0.81 0.79 0.92 0.84
Gaussian NB 0.78 0.91 0.9 0.82 0.9 0.9
Logistic regression 0.82 0.89 0.88 0.85 0.92 0.92
AdaBoost 0.82 0.85 0.85 0.85 0.88 0.88
Random forest 0.81 0.89 0.89 0.83 0.91 0.92
  1. The best performance is in italic