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Figure 3 | BMC Genomics

Figure 3

From: An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series gene expression data

Figure 3

Ten-fold cross-validation accuracy of C4.5, Bagging, Boosting and Splitting. Experiments were done on eight different time points of CDC28 data set. Implementation of Bagging, Boosting and C4.5 were obtained from the WEKA package [52]. C4.5 was also used as the base level classifier for Bagging, Boosting and Splitting. Default parameters were used for C4.5, Bagging and Boosting. Splitting were done according to Materials and Methods.

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BMC Genomics

ISSN: 1471-2164

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