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Journal of Big Data

Table 77 Modes of DT tuned hyperparameter values for experiments with the data exfiltration dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

criterion

entropy

max_depth

16

max_features

None

min_samples_leaf

8

  1. “None” value indicates default value of hyperparameter is optimal; parameter values for classifier yielding best results in terms of AUC
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