Influence of secondary data sources and classifier combination on the performance for 10 training microarray data sets.
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https://figshare.com/articles/dataset/_Influence_of_secondary_data_sources_and_classifier_combination_on_the_performance_for_10_training_microarray_data_sets_/524124
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§secondary data source or combination rule with the best performance (W = weighting according to the 5-fold training AUC values; SW = weighting with scaled 5-fold training AUC values; EXH = exhaustive search among all possible combinations of 3 classifiers; NB = naïve Bayes; LR = logistic regression; LDA = linear discriminant analysis).
*mean test AUC value under best training (standard deviation).
°one-sided paired-sampled t-test for the comparison with respect to the baseline model.
创建时间：
2013-02-21
