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Table 2 The setting intervals and results of bayesian optimization hyperparameters

From: Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis

Hyperparameter

Optimization interval

Optimal Results

Learning rate

[0.001, 0.1]

0.03

Batch size

[16, 64]

32

Sliding average attenuation

[0.9, 0.99]

0.95

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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