Most ligand-based classification benchmarks reward memorization rather than generalization

I Wallach, A Heifets - Journal of chemical information and …, 2018 - ACS Publications
Undetected overfitting can occur when there are significant redundancies between training
and validation data. We describe AVE, a new measure of training–validation redundancy for …

Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization.

I Wallach, A Heifets - Journal of Chemical Information and Modeling, 2018 - europepmc.org
Undetected overfitting can occur when there are significant redundancies between training
and validation data. We describe AVE, a new measure of training-validation redundancy for …

[引用][C] Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization

I Wallach, A Heifets - Journal of Chemical Information and Modeling, 2018 - cir.nii.ac.jp
Most Ligand-Based Classification Benchmarks Reward Memorization Rather than
Generalization | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization

I Wallach, A Heifets - arXiv preprint arXiv:1706.06619, 2017 - arxiv.org
Undetected overfitting can occur when there are significant redundancies between training
and validation data. We describe AVE, a new measure of training-validation redundancy for …

Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization

I Wallach, A Heifets - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Undetected overfitting can occur when there are significant redundancies between training
and validation data. We describe AVE, a new measure of training-validation redundancy for …

Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization

I Wallach, A Heifets - Journal of chemical information and …, 2018 - pubmed.ncbi.nlm.nih.gov
Undetected overfitting can occur when there are significant redundancies between training
and validation data. We describe AVE, a new measure of training-validation redundancy for …