Table 10 The improved classifiers using RN-Autoencoders on different datasets
From: RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
RN-Autoencoder + Classifier | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Classifiers | ||||||||||||||
Dataset | #Features | Imbalance Ratio | CART | GB | GNB | RF | KNN | XG-Boost | SGD-LR | SVM-Linear | Ada Boost | SVM-RBF | LDA | |
Colon | 2000 | 55% | - | ✓ | ✓ | - | - | - | - | - | ✓ | - | - | |
Leukemia | 7129 | 53.19% | - | - | - | - | ✓ | - | ✓ | - | - | ✓ | ✓ | |
DLBCL | 7070 | 32.75% | ✓ | - | - | ✓ | - | ✓ | - | - | ✓ | ✓ | - | |
Lung (Michigan) | 7129 | 11.62% | - | ✓ | ✓ | - | - | ✓ | - | - | - | - | - | |
WDBC | 30 | 59.38% | - | - | ✓ | - | - | ✓ | - | ✓ | - | - | ✓ | |