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Advances, Systems and Applications

Table 1 Comparison of Acquisition Functions

From: Hyperparameter optimization method based on dynamic Bayesian with sliding balance mechanism in neural network for cloud computing

Acquisition function

Gaussian Process (GP)

Random Forest (RF)

50 data

100 data

50 data

100 data

UCB

0.466

0.454

0.469

0.463

PI

0.473

0.470

0.469

0.470

EI

0.456

0.461

0.460

0.458