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Table 3 Accuracy of final classifiers for 'simultaneous' events in the cdc15 dataset

From: Towards reconstruction of gene networks from expression data by supervised learning

Gene name

cdc15, 20 genes

cdc15, cyclins

 

10-CV

cdc28

α

10-CV

cdc28

α

CLN1

82.8%

76.5%

94.4%

91.1%

76.5%

94.4%

CLN2

69.9%

88.2%

77.8%

73.5%

88.2%

77.8%

CLB1

95.8%

88.2%

88.9%

95.3%

88.2%

88.9%

CLB2

95.8%

88.2%

77.8%

95.0%

88.2%

77.8%

CLB5

76.0%

94.1%

83.3%

76.0%

94.1%

83.3%

CLB6

83.7%

88.2%

88.9%

84.4%

88.2%

88.9%

SWI5

73.7%

88.2%

83.3%

   
  1. Estimates are shown for C4.5 by Quinlan with wrappers by Kohavi on the cdc15 dataset with continuous features discretized by the Fayyad and Irani method. 10-CV, 10-fold cross-validation; cdc28 and α, accuracy estimations where cdc8 and alpha-factor datasets were used as test sets. See Materials and methods for the algorithm description.