Skip to main content

Table 7 Average and standard deviation of 10-fold CV accuracy from 10 runs

From: Improving accuracy for cancer classification with a new algorithm for genes selection

 

BMSF- SVM

GeneSrF- SVM

BMSF- NB

GeneSrF- NB

BMSF- LDA

GeneSrF- LDA

BMSF- QDA

GeneSrF- QDA

CNS

94.11(1.38)

88.23(0)

92.05(2.79)

91.17(0)

96.47(1.86)

83.23(3.93)

95.88(2.05)

NA(NA)

Colon

94.35(2.04)

78.22(2.18)

87.41(1.98)

86.93(1.93)

87.41(1.48)

81.45(0.85)

89.51(1.9)

81.12(1.08)

DLBCL

98.57(1.29)

88.44(2.48)

88.96(0.68)

88.57(0.54)

96.23(0.41)

85.71(1.36)

94.15(1.1)

90(0.62)

GCM

98.07(0.61)

92.07(0.9)

87.42(0.76)

84.17(0.24)

91.14(0.66)

77.53(1.41)

90.25(0.93)

NA(NA)

Leukemia

98.33(0.58)

96.66(0.97)

96.25(0.93)

94.58(0.43)

98.33(0.58)

93.19(0.43)

97.63(0.67)

94.58(0.78)

Lung

99.11(0.64)

98.95(0.4)

98.39(0.31)

98.34(0)

97.79(0.26)

98.34(0)

97.56(0.46)

98.34(0.26)

Pros1

96.76(0.8)

92.64(1.24)

89.6(0.82)

93.33(0.62)

95.49(0.5)

90.98(1.01)

93.23(0.85)

91.56(0.68)

Pros2

97.38(1.2)

83.75(2.27)

90(1.17)

85.11(1.46)

95.34(1.13)

85.45(0.71)

90.11(2.27)

83.63(1.09)

Pros3

98.48(1.59)

93.93(2.47)

99.69(0.95)

99.69(0.95)

96.66(0.95)

93.93(0)

100(0)

96.66(1.72)

  1. BMSF and random forest (GeneSrF) are used for gene selection and SVM, NB, LDA, QDA are used to build model with the training data and predict the class of test data.