Table 5

Comparison among discretization algorithms' performance.

Algorithmf

Accuracya

Recallb

Precisionc

Specificityd

NPVe


ADID

80%

90%

82%

57%

72%

EntMDL

68%

60%

91%

87%

50%

Modified Chi2

71%

64%

91%

87%

53%

ROC-based

77%

84%

82%

61%

64%

Equal Frequency

68%

60%

91%

87%

50%


a Accuracy is the fraction of correctly classified patients and overall classified patients.

b Recall is the fraction of correctly classified good outcome patients and the overall predicted good outcome patients.

c Precision is the fraction of correctly classified good outcome patients and the predicted good outcome patients.

d Specificity is the fraction of correctly classified poor outcome patients and the overall poor outcome patients.

e NPV(negative predictive value) is the fraction of correctly classified poor outcome patients and the overall predicted poor outcome patients.

f Discretization algorithms utilized for comparison/

Cangelosi et al. BMC Bioinformatics 2014 15(Suppl 5):S4   doi:10.1186/1471-2105-15-S5-S4

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