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Table 100 Modes of MLP tuned hyperparameter values for experiments with the keylogging dataset

From: IoT information theft prediction using ensemble feature selection

Parameter name Value
activation relu
alpha 0.04400
hidden_layer_sizes [115, 460]
learning_rate constant
solver lbfgs
  1. Parameter values for classifier yielding best results in terms of AUC