Table 8 Results summary for the lung dataset
From: RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
Dataset: Lung (Michigan) | ||||||||
|---|---|---|---|---|---|---|---|---|
Classifier | Metrics | |||||||
Model | Test Acc | Precision | Recall | F1 | Kappa | MCC | GM | |
GNB | Original | 0.95 | 0.9474 | 1 | 0.973 | 0.6429 | 0.6882 | 0.7071 |
RN-SMOTE | 0.95 | 0.9474 | 1 | 0.973 | 0.6429 | 0.6882 | 0.7071 | |
Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
RN-Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
Gradient Boost | Original | 0.95 | 0.9474 | 1 | 0.973 | 0.6429 | 0.6882 | 0.7071 |
RN-SMOTE | 0.95 | 0.9474 | 1 | 0.973 | 0.6429 | 0.6882 | 0.7071 | |
Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
RN-Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
XGBOOST | Original | 0.95 | 1 | 0.9444 | 0.9714 | 0.7727 | 0.7935 | 0.9718 |
RN-SMOTE | 0.95 | 1 | 0.9444 | 0.9714 | 0.7727 | 0.7935 | 0.9718 | |
Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
RN-Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |