Skip to main content

Table 85 Modes of RF tuned hyperparameter values for experiments with the data exfiltration dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

bootstrap

True

class_weight

balanced

criterion

entropy

max_depth

9

max_features

sqrt

min_impurity_decrease

0.00017

min_samples_leaf

2

min_samples_split

10

n_estimators

127

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