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Journal of Big Data

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
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