Table 3 Details of Hyper-parameters used in the present study.

From: Establishing correlation between bone mineral apposition rate and physiological loading using machine learning regressor

ML regressor model

Hyper-parameter

Hyper-parameter values used in the present study

XGBoost 23

n_estimators, max_depth and learning_rate

n_estimators = [100, 200], max_depth = [3, 5], learning_rate = [0.01, 0.03]

Random forest22

n_estimators and max_depth

n_estimators = [100, 200], max_depth = [3, 5]

Support vector machine22

C controls and epsilon

C = [1, 10, 50],

epsilon = [0.01, 0.1]

K-nearest neighbour (KNN)15

n_neighbors

n_neighbors = [3, 5, 7]