Weihs, Claus and Jastrow, Malte - Archives of Data Science, Series A

Article Details

Title Class Prediction by Prediction Intervals for Neural Nets
Authors Weihs, Claus and Jastrow, Malte
Year 2020
Volume 6(1)
Abstract Generally, the unknown coefficients of neural nets are estimated by nonlinear least squares. Therefore, prediction intervals for the true value of the target feature exist. The paper proposes to use such intervals for class prediction and model selection. Only in this way, the uncertainty of class predictions can be indicated.