Two Optimized General Methods for Inverse Kinematics of 6R Robots Based on Machine Learning

Table 1

Performance comparison of regression models.

Model	Training			Testing
	Decision tree	1.000	0.000	0.000	0.931	0.721	0.463
K-nearest neighbor	0.848	1.100	0.803	0.796	1.237	0.919
Random forest	0.990	0.280	0.172	0.977	0.412	0.216
Gradient boosting	0.950	0.631	0.480	0.951	0.604	0.431
Bagging	0.988	0.309	0.185	0.975	0.432	0.245
ExtraTree	1.000	0.000	0.000	0.818	1.168	0.766