Datasets from biosciences/medicine. Additional file 2 presents the modified versions of Figs. 3, 5 and 6 as well as Table 2 obtained using the datasets from biosciences/medicine only. (PDF 288 kb
Figure S1 Overall success rate of the prediction of tumor types by random forests depending on (a) t...
The normalized %IncMSEs of the existing facets in each food group calculated by random forests. The ...
Additional file 2: Table S1. Standard deviation of replicate affinity measurements (IC50/EC50/Ki/Kd)...
Additional results of subgroup analyses. Additional file 1 extends Fig. 5 for all considered measure...
Results with tuned random forest (TRF). Additional file 4 shows the results of the comparison study...
Results on partial dependence. Additional file 3 includes a study on interesting extreme cases that ...
Additional file 1: Appendix: Figure 1. Random forest algorithm for prediction. Figure 2. Decision tr...
Table S2. Training parameter grids and parameters used for five machine learning methods for the pre...
Table S3. Area under the curve in the training data for logistic regression and five machine learnin...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Random forests perform regression using decision trees. It is a non parametric machine learning meth...
Provides a forest plot of OR estimates and CIs under different modelling assumptions for the variabl...
Random forest usage in papers. A summary table of papers referencing random forest over a seven mont...
Table S1. Predictors of fetal growth abnormalities and their use in the prediction models. (PDF 71 k...
Figure S6. Receiver operating characteristic curves for the prediction of LGA among primiparous wome...
Figure S1 Overall success rate of the prediction of tumor types by random forests depending on (a) t...
The normalized %IncMSEs of the existing facets in each food group calculated by random forests. The ...
Additional file 2: Table S1. Standard deviation of replicate affinity measurements (IC50/EC50/Ki/Kd)...
Additional results of subgroup analyses. Additional file 1 extends Fig. 5 for all considered measure...
Results with tuned random forest (TRF). Additional file 4 shows the results of the comparison study...
Results on partial dependence. Additional file 3 includes a study on interesting extreme cases that ...
Additional file 1: Appendix: Figure 1. Random forest algorithm for prediction. Figure 2. Decision tr...
Table S2. Training parameter grids and parameters used for five machine learning methods for the pre...
Table S3. Area under the curve in the training data for logistic regression and five machine learnin...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Random forests perform regression using decision trees. It is a non parametric machine learning meth...
Provides a forest plot of OR estimates and CIs under different modelling assumptions for the variabl...
Random forest usage in papers. A summary table of papers referencing random forest over a seven mont...
Table S1. Predictors of fetal growth abnormalities and their use in the prediction models. (PDF 71 k...
Figure S6. Receiver operating characteristic curves for the prediction of LGA among primiparous wome...
Figure S1 Overall success rate of the prediction of tumor types by random forests depending on (a) t...
The normalized %IncMSEs of the existing facets in each food group calculated by random forests. The ...
Additional file 2: Table S1. Standard deviation of replicate affinity measurements (IC50/EC50/Ki/Kd)...
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