Table 7 Results summary for the DLBCL dataset
From: RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
Dataset: DLBCL | ||||||||
|---|---|---|---|---|---|---|---|---|
Classifier | Metrics | |||||||
Model | Test Acc | Precision | Recall | F1 | Kappa | MCC | GM | |
RF | Original | 0.9167 | 1 | 0.6667 | 0.8 | 0.75 | 0.7746 | 0.8165 |
RN-SMOTE | 0.9167 | 1 | 0.6667 | 0.8 | 0.75 | 0.7746 | 0.8165 | |
Extracted | 0.8333 | 1 | 0.3333 | 0.5 | 0.4286 | 0.5222 | 0.5774 | |
RN-Extracted | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |
CART | Original | 0.9167 | 0.75 | 1 | 0.8571 | 0.8 | 0.8165 | 0.9428 |
RN-SMOTE | 0.9167 | 0.75 | 1 | 0.8571 | 0.8 | 0.8165 | 0.9428 | |
Extracted | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |
RN-Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
SVM-RBF | Original | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 |
RN-SMOTE | 0.875 | 1 | 0.5 | 0.6667 | 0.6 | 0.6547 | 0.7071 | |
Extracted | 0.7917 | 1 | 0.1667 | 0.2857 | 0.2308 | 0.3612 | 0.4082 | |
RN-Extracted | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |
AdaBoost | Original | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 |
RN-SMOTE | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |
Extracted | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |
RN-Extracted | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
XGBOOST | Original | 0.9167 | 1 | 0.6667 | 0.8 | 0.75 | 0.7746 | 0.8165 |
RN-SMOTE | 0.9167 | 1 | 0.6667 | 0.8 | 0.75 | 0.7746 | 0.8165 | |
Extracted | 0.9167 | 1 | 0.6667 | 0.8 | 0.75 | 0.7746 | 0.8165 | |
RN-Extracted | 0.9583 | 1 | 0.8333 | 0.9091 | 0.8824 | 0.8885 | 0.9129 | |