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Table 72 Modes of LR tuned hyperparameter values for experiments with the information theft dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name

Value

penalty

None

class_weight

None

C

9.35500

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