Practical confidence and prediction intervals for prediction tasks

By Tom M. Heskes, Wim Wiegerinck, Hilbert J. Kappen. 1997

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1. Rafael Valle
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5. Anil S. Jadhav
6. Adrian La'ncucki
7. Kevin J. Shih
8. Wei Ping

Citations in the corpus

• Missing Data Imputation for Supervised Learning (2016, methodology): “We compare the out-of-sample performance 8% 12% 16% 20% 40%30%20%10%0% MCAR perturbation T es t s et e rr or Classification model ANNs Decision tree Random forests Imputation method kNN Logistic Random forests Random replacement Summary SVMs Adult dataset with…”