Skip to main content
Figure 3 | BMC Nephrology

Figure 3

From: Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis

Figure 3

Prediction performance by support vector machine (svmRadial) and random forest (cforest) using 10 and 5 most frequently selected clinical and genetic attributes respectively. A) prediction accuracy in the DKD training and testing datasets, B) ranking of importance of attributes based on svmRadial, C) ranking of importance of attributes based on cforest.

Back to article page