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Journal of Big Data

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
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