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Figure 2 | BMC Medical Genetics

Figure 2

From: Genome Wide Association Study to predict severe asthma exacerbations in children using random forests classifiers

Figure 2

Comparison of performance of predicting severe asthma exacerbation with different methods. Y-axis: AUC; X-axis: the number of SNPs used in a model. "Random SNPs": SNPs are chosen randomly from all SNPs and used as input variables to predict asthma exacerbations, and this process has been iterated 10 times [see Methods for details]; "Permuted": asthma exacerbation is permuted across samples while clinical traits and SNPs are kept with the samples, and this process has been iterated 10 times [see Methods for details]; "Training": the AUC of the model trained and built with all the Stage 1 samples predicting on the same samples; "Internal cross-validation": the AUC of the model built with 90% of the randomly selected Stage 1 samples predicting on the rest (10%) of the Stage 1 samples; "Independent replication": the AUC of the model built with all the Stage 1 samples predicting on all the Stage 2 samples.

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BMC Medical Genetics

ISSN: 1471-2350

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