Classification of lung cancer severity using gene expression data based on deep learning

Table 12 Detailed performance comparison between all the models using F-test for LUAD dataset using 5000 features

Performance Metric	KNN (K = 7)	SVM	RF	AdaBoost	CNN
Accuracy	0.62	0.79	0.65	0.66	0.94
Recall	0.55	0.75	0.64	0.64	0.94
Precision	0.60	0.83	0.64	0.64	0.94
F-score	0.50	0.76	0.64	0.64	0.94
AUC	0.54	0.74	0.64	0.64	0.93
TPR	0.58	0.91	0.57	0.57	0.92
TNR	0.62	0.75	0.71	0.71	0.94
FPR	0.37	0.25	0.28	0.28	0.05
FNR	0.41	0.08	0.42	0.42	0.07
Training Time (Seconds)	0.02	0.35	6.49	6.49	10.63

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