Research Article
Random Forests in Count Data Modelling: An Analysis of the Influence of Data Features and Overdispersion on Regression Performance
Figure 2
Best RF mtry as a function of the population size, number, and type of predictors ( are quantitative predictors, are quantitative predictors, are quantitative predictors, are quantitative predictors, and are categorical predictors). (a) , (b) , (c) , (d) , (e) , (f) , (g) , (h) , and (i) .
(a) |
(b) |
(c) |
(d) |
(e) |
(f) |
(g) |
(h) |
(i) |