Table 6 Detailed performance comparison between all the models without feature selection for LUSC dataset using 80–20 splitting method
From: Classification of lung cancer severity using gene expression data based on deep learning
Performance Metric | KNN (K = 7) | SVM | RF | AdaBoost | CNN |
|---|---|---|---|---|---|
Accuracy | 0.59 | 0.61 | 0.59 | 0.57 | 0.57 |
Recall | 0.56 | 0.56 | 0.56 | 0.55 | 0.55 |
Precision | 0.56 | 0.58 | 0.56 | 0.55 | 0.55 |
F-score | 0.56 | 0.56 | 0.56 | 0.55 | 0.55 |
AUC | 0.56 | 0.56 | 0.55 | 0.55 | 0.54 |
TPR | 0.65 | 0.65 | 0.65 | 0.65 | 0.64 |
TNR | 0.47 | 0.5 | 0.46 | 0.45 | 0.44 |
FPR | 0.52 | 0.5 | 0.53 | 0.55 | 0.55 |
FNR | 0.34 | 0.34 | 0.34 | 0.34 | 0.35 |
Training Time (Seconds) | 0.20 | 1.13 | 1.53 | 23.98 | 35.86 |