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

Table 5 Detailed performance comparison between all the models without feature selection for LUAD dataset using 70–30 splitting method

Performance Metric	KNN (K = 7)	SVM	RF	AdaBoost	CNN
Accuracy	0.59	0.63	0.60	0.56	0.61
Recall	0.50	0.51	0.55	0.56	0.57
Precision	0.49	0.65	0.56	0.56	0.58
F-score	0.46	0.42	0.55	0.55	0.57
AUC	0.49	0.51	0.55	0.55	0.56
TPR	0.36	0.66	0.46	0.43	0.48
TNR	0.62	0.62	0.65	0.67	0.66
FPR	0.37	0.37	0.34	0.32	0.33
FNR	0.63	0.33	0.53	0.56	0.51
Training Time (Seconds)	0.09	0.87	1.31	22.60	30.09

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