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Table 66 Modes of MLP tuned hyperparameter values for experiments with the information theft dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name Value
activation tanh
alpha 0.12062
hidden_layer_sizes [480]
learning_rate constant
solver lbfgs
  1. Parameter values for classifier yielding best results in terms of AUC