Table 8 Optimized hyperparameters for random forest regression.

From: Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques

Hyperparameter

Description

Range

Optimal value

Maximum depth

Defines the maximum depth a tree can achieve.

None, no. of samples

None

Minimum samples leaf

States the minimum number of samples necessary to form a leaf node.

From 1 to the total number of samples.

2

Minimum samples split

Determines the minimum number of samples required to perform a split on an internal node.

From 02 to total number of samples.

2

No. of estimators (number of trees)

Refers to the total count of tress within the ensemble

From 01 and extend to any desired upper limit.

50

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