Skip to main content

Table 101 Modes of RF tuned hyperparameter values for experiments with the keylogging dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

bootstrap

True

class_weight

balanced_subsample

criterion

entropy

max_depth

9

max_features

sqrt

min_impurity_decrease

0.00000

min_samples_leaf

2

min_samples_split

9

n_estimators

141

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