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 |