Journal of Biological Engineering

Table 5 Results summary for the colon dataset

From: RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Dataset: colon
Classifier	Metrics
Classifier	Model	Test Acc	Precision	Recall	F1	Kappa	MCC	GM
GNB	Original	0.6429	0.5	0.6	0.5455	0.2553	0.2582	0.6325
	RN-SMOTE	0.5714	0.4	0.4	0.4	0.0667	0.0667	0.5164
	Extracted	0.7857	0.6667	0.8	0.7273	0.5532	0.5594	0.7888
	RN-Extracted	0.7857	0.6667	0.8	0.7273	0.5532	0.5594	0.7888
AdaBoost	Original	0.7143	0.6	0.6	0.6	0.3778	0.3778	0.6831
	RN-SMOTE	0.6429	0.5	0.6	0.5455	0.2553	0.2582	0.6325
	Extracted	0.7143	0.6667	0.4	0.5	0.3171	0.3373	0.5963
	RN-Extracted	0.7857	0.75	0.6	0.6667	0.5116	0.5185	0.7303
Gradient Boost	Original	0.6429	0.5	0.4	0.4444	0.186	0.1886	0.5578
	RN-SMOTE	0.6429	0.5	0.6	0.5455	0.2553	0.2582	0.6325
	Extracted	0.7143	0.6667	0.4	0.5	0.3171	0.3373	0.5963
	RN-Extracted	1	1	1	1	1	1	1

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ISSN: 1754-1611

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