Table 4 Accuracy (R-square) of K-Nearest neighbour (KNN), random Forest, support vector machine (SVM) and XGBoost classification model.

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

Sl. No.

Machine learning regressor model

Accuracy (R2)

Endosteal surface

Periosteal surface

1

K-nearest neighbour (KNN)

75.54%

61.70%

2

Random forest

97.13%

92.01%

3

XGBoost

98.01%

94.52%

4

Support vector machine

64.48%

85.85%

Back to article page