Skip to main content

Table 59 Modes of DT tuned hyperparameter values for experiments with the information theft dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

criterion

gini

max_depth

16

max_features

sqrt

min_samples_leaf

5

  1. Parameter values for classifier yielding best results in terms of AUPRC