Machine learning algorithms to predict core, skin, and hair-coat temperatures of piglets

•Prediction of temperatures of livestock using machine learning.•Environmental data were the predictors.•Random forest, gradient boosting machine, and deep neural networks performed well.•Generalized linear regression underperformed on generalization and robustness tests.