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Table 12 Performance comparison (f1-score and accuracy) with the RF method, based on the second study with 450k DNA methylation profile dataset

From: A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation

Cancer type

Method

F1-score

Accuracy

Breast Cancer (BRCA)

RF (Modhukur et al.)

0.954

0.926

Proposed method

0.986

0.986

Colon Cancer (COAD)

RF (Modhukur et al.)

0.987

0.980

Proposed method

0.988

0.989

Kidney Cancer (KIRC)

RF (Modhukur et al.)

0.987

0.993

Proposed method

0.99

0.989

Liver Cancer (LIHC)

RF (Modhukur et al.)

0.99

0.99

Proposed method

1.0

1.0

Lung Cancer (LUSC)

RF (Modhukur et al.)

0.931

0.951

Proposed method

0.99

0.986

Prostate Cancer (PRAD)

RF (Modhukur et al.)

0.98

0.98

Proposed method

0.99

0.98

Thyroid Cancer (THCA)

RF (Modhukur et al.)

1.00

0.99

Proposed method

0.98

0.99