From: Semi-supervised learning for detecting human trafficking
Learner | Precision | Recall | F1-score | |||
---|---|---|---|---|---|---|
\(class_p\) | \(class_n\) | \(class_p\) | \(class_n\) | \(class_p\) | \(class_n\) | |
\(S^3VM-R\) | 0.91 | 0.9 | 0.9 | 0.9 | 0.91 | 0.92 |
Laplacian SVM | 0.91 | 0.9 | 0.9 | 0.91 | 0.89 | 0.92 |
LabelSpreading (RBF) | 0.8 | 0.86 | 0.82 | 0.83 | 0.81 | 0.85 |
LabelSpreading (KNN) | 0.7 | 0.75 | 0.73 | 0.78 | 0.79 | 0.77 |
Co-training (SVM) | 0.96 | 0.91 | 0.91 | 0.97 | 0.93 | 0.93 |
SVM | 0.93 | 0.91 | 0.84 | 0.97 | 0.87 | 0.93 |
KNN | 0.87 | 0.92 | 0.88 | 0.94 | 0.87 | 0.93 |
Gaussian NB | 0.78 | 0.96 | 0.94 | 0.87 | 0.84 | 0.91 |
Logistic regression | 0.98 | 0.89 | 0.81 | 0.98 | 0.88 | 0.93 |
AdaBoost | 0.88 | 0.88 | 0.75 | 0.95 | 0.78 | 0.91 |
Random forest | 0.93 | 0.89 | 0.81 | 0.97 | 0.85 | 0.93 |