Research Article
Random Forests in Count Data Modelling: An Analysis of the Influence of Data Features and Overdispersion on Regression Performance
Table 5
Description of methods’ predictive performance and Tukey’s HSD pairwise comparisons for different levels of overdispersion.
| Variance-to-mean relationship | Methods | | | | | | | | | | |
| BIAS | Linear | Log_linear | | | | | | | | | | | Neg.Bin | | | | | | | | | | | Poisson | | | | | | | | | | | Quasi-Poisson | | | | | | | | | | | RF | | | | | | | | | | | ZIP | | | | | | | | | | | Quadratic | Log_linear | | | | | | | | | | | Neg.Bin | | | | | | | | | | | Poisson | | | | | | | | | | | Quasi-Poisson | | | | | | | | | | | RF | | | | | | | | | | | ZIP | | | | | | | | | | |
| RMSE | Linear | Log_linear | | | | | | | | | | | Neg.Bin | | | | | | | | | | | Poisson | | | | | | | | | | | Quasi-Poisson | | | | | | | | | | | RF | | | | | | | | | | | ZIP | | | | | | | | | | | Quadratic | Log_linear | | | | | | | | | | | Neg.Bin | | | | | | | | | | | Poisson | | | | | | | | | | | Quasi-Poisson | | | | | | | | | | | RF | | | | | | | | | | | ZIP | | | | | | | | | | |
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