Table 2 Hyperparameter adjustment of random forest model.

From: Application of machine learning with large-scale data for an effective vaccination against classical swine fever for wild boar in Japan

Hyperparameters

Test conditions

Number of features considered at each split (mtry)

Number of variables × (0.05, 0.15, 0.25, 0.33, 0.4)

Minimum node size

1, 3, 5, 10, 15

Replace

True or False

Sample fraction

0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8

Number of trees

250, 300, 350, 400, 450, 500, 550, 600, 800, 1000, 2000