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Table 5 Results of the inter-organism ANN method of classification

From: Machine learning and statistics shape a novel path in archaeal promoter annotation

  

H. volcanii

S. solfataricus

T. kodakarensis

H. volcanii

Accuracy (%)

70.63

81.61

Precision (%)

41.75

66.56

Recall (%)

95.95

94.68

Specificity (%)

63.89

74.72

S. solfataricus

Accuracy (%)

66.51

86.46

Precision (%)

98.89

95.45

Recall (%)

60.87

81.04

Specificity (%)

96.23

94.42

T. kodakarensis

Accuracy (%)

75.42

82.48

Precision (%)

97.52

71.56

Recall (%)

68.9

91.48

Specificity (%)

94.34

77.01

  1. In this classification, the architecture that was trained with data of one archaeon and its controls was tested with other organisms and their controls. The results displayed in each cell have information of the averaged results of the three forms of control. The testing data of an archaeon with its own ANN architecture was omitted, for it, see Table 3