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Table 2 Comparing the tenfold cross-validation accuracy of the ML/DL models in the main dataset for clades and continents classification

From: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques

Clades classification

tenfold cross-validation accuracy (± SD)

Continent classification

tenfold cross-validation accuracy (± SD)

SVM

15.7% (± 0.03)

SVM

11.1% (± 0.160)

RBF

16.4% (± 0.0003)

RBF

0.4% (± 0.0001)

NB

33.1% (± 0.0008)

NB

3.11% (± 0.0005)

LR

61.39% (± 0.01)

LR

52.6% (± 0.0006)

DT

68.92% (± 0.001)

DT

62.4% (± 0.002)

RF

86.37% (± 0.0009)

RF

79.92% (± 0.001)

DL

87.88 (± 0.013)

DL

78.34% (± 0.018)