Machine learning based personalized promotion strategy of piglets weaned per sow per year in large-scale pig farms

Table 1 Evaluation factors and 95% confidence interval of different models

Model	MAE	95% CI	R²	MSE	MAPE
Gradient boosting regressor	1.6047	4.262	0.7432	5.0377	10.70%
Hist gradient boosting regressor	1.6211	4.5973	0.7399	4.8847	10.68%
Extra trees regressor	1.6318	4.488	0.7353	5.0112	10.84%
Random forest regressor	1.7397	4.642	0.7103	5.5809	11.64%
Bayesian ridge	1.7691	4.6014	0.7098	5.5517	11.73%
Linear regression	1.7744	4.8353	0.7048	5.6470	11.76%
Bagging regressor	1.8329	5.3001	0.7034	6.0023	12.06%
Ada Boost regressor	2.0326	5.08	0.6679	6.4055	12.84%
Elastic net	2.36	6.0404	0.5354	8.8888	15.38%

MAE = mean absolute error; CI = confidence interval; MSE = mean square error; MAPE = mean absolute percentage error

ISSN: 2055-5660