Skip to main content

Table 74 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 relu
alpha 0.19409
hidden_layer_sizes [104, 555]
learning_rate adaptive
solver lbfgs
  1. Parameter values for classifier yielding best results in terms of AUC