Figure 4
From: Heterogeneity Aware Random Forest for Drug Sensitivity Prediction
Changes in misclassification rate of HARF and Bayes error (Eq. 16) for different number of trees are shown. For model with few trees, misclassification rate is higher compared to model with high number of trees. As expected, HARF misclassification rate is always higher compared to minimum Bayes error, but the difference is always minimal for models with different number of trees. Drug AZD − 6244 and cancer types Skin & CNS are used for the generation of these curves.
