Fast and Accurate Uncertainty Estimation in Chemical Machine Learning
Fast and Accurate Uncertainty Estimation in Chemical Machine Learning
We present a scheme to obtain an inexpensive and reliable estimate of the uncertainty associated with the predictions of a machine-learning model of atomic and molecular properties. The scheme is based on resampling, with multiple models being generated based on subsampling of the same training data. The accuracy of the …