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Table 63 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 l2
class_weight None
C 5.95900
  1. “None” value indicates default value of hyperparameter is optimal; parameter values for classifier yielding best results in terms of AUC