RT @InsightsImaging: New study finds that incorrectly applying feature selection before cross-validation to high-dimensional #radiomics #da…
RT @InsightsImaging: New study finds that incorrectly applying feature selection before cross-validation to high-dimensional #radiomics #da…
New study finds that incorrectly applying feature selection before cross-validation to high-dimensional #radiomics #data can lead to positive bias due to data leakage. (Aydin Demircioğlu) #InsightsIntoImaging 🔗 https://t.co/eflgrdmr93 https://t.co/LBtdEe
RT @zekun_jiang: Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics https://t.co/v7U…
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics https://t.co/v7UD3lK0hu
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics #radiomics #radiomicstwitter https://t.co/OrtH6rTr5G
RT @MLandDL_papers: Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics https://t.co/…
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics https://t.co/Lmf8KvKRQq