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For the comparison of the c/s2 error bound, the GRRF model was not considered in this experiment because the RF model of Breimen's method [ 29] was used in the GRRF model as the classifier.
For the GRRF model, we used a value of 0.1 for the coefficient γ because GRRF 0.1) has shown competitive prediction performance in [ 27].
From these prediction accuracy results in Table 8, the GRRF model provided slightly better result on SRB data set in case n min = 15 and PRO in case n min = 1, respectively.
In the GRRF model, the weights are calculated using RF to produce importance scores from the out-of-bag data, in which these weights are used to guide the feature selection process.
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The ts-RF model using m t r y = M p outperformed the RF, GRRF, wsRF models and SVM on both GWA data sets, where M p = || X s|| + || X w|| denotes the number of informative SNPs.
We compare our ts-RF model with the Breiman's RF method and two recent proposed random forests models, that are the guided regularized random forests GRRF model [ 27] and the weighting subspace random forests wsRF model [ 28].
Experiment results demonstrated the effectiveness of the proposed RF model that outperformed the state-of-the-art RFs, including Breiman's RF, GRRF and wsRF methods.
The latest RF [ 29] and GRRF [ 30] R-packages were used in R environment to conduct these experiments.
The Wendy Williams Show Michael Ealy ("The Following").
Experimental results show that the proposed RF using two-stage quality-based SNP sampling can generate better random forests with higher accuracy and lower errors than other existing random forests methods, including Breiman's RF, GRRF and wsRF methods.
The Naked & The Dead.
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