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Table 75 Modes of RF tuned hyperparameter values for experiments with the information theft dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

bootstrap

True

class_weight

balanced

criterion

gini

max_depth

9

max_features

log2

min_impurity_decrease

0.00000

min_samples_leaf

2

min_samples_split

5

n_estimators

174

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