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. 2022 Dec 15;19(24):16844. doi: 10.3390/ijerph192416844

Table 3.

Set of hyperparameters for various hyperparameter tuning techniques.

MOHT Random Search Hyperopt Grid Search
Number of estimators {10, 11, 12, …, 510} {10, 11, 12, …, 510} {10, 11, 12, …, 510} {10, 50, 100, 200, 300, 400, 500, 600}
Maximum depth {1, 2, 3, …, 11} {1, 2, 3, …, 11} {1, 2, 3,…, 11} {1, 3, 5, 7, 9, 11}
Minimum data in leaf {5, 6, 7, …, 105} {5, 6, 7, …, 105} {5, 6, 7, …, 105} {10, 20, 30, 40, 50, 60, 70}
Learning rate (0, 1] (0, 1] (0, 1] {0.0001, 0.001, 0.01, 0.1, 1}