Table 2 Comparison of transductive and inductive learning of the VLM and Alignment algorithms.
Condition | AdaBoost | Decision Tree | SCM | L1-SVM |
|---|---|---|---|---|
Clomiphene Detection | ||||
Transductive | 98.8% (2.3) | 99.4% (1.0) | 99.4% (1.0) | 92.8% (138.6) |
Inductive | 99.4% (1.0) | 99.4% (1.0) | 96.4% (1.0) | 93.4% (90.0) |
Acetaminophen Detection | ||||
Transductive | 99.8% (1.0) | 100.0% (1.0) | 99.4% (1.0) | 99.6% (63.4) |
Inductive | 100.0% (1.0) | 99.2% (1.0) | 99.6% (1.0) | 98.6% (30.0) |
Malaria Detection | ||||
Transductive | 93.8% (65.3) | 86.1% (4.8) | 85.4% (2.3) | 95.2% (131.4) |
Inductive | 92.9% (54.3) | 87.8% (4.7) | 84.2% (2.2) | 95.1% (151.0) |
Cancer Detection | ||||
Transductive | 67.4% (30.0) | 62.6% (2.3) | 59.6% (2.2) | 74.6% (135.2) |
Inductive | 69.2% (63.9) | 61.2% (6.7) | 57.4% (1.6) | 68.2% (145.4) |
