Cross-validation failure: Small sample sizes lead to large error bars

G Varoquaux - Neuroimage, 2018 - Elsevier
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - arXiv preprint arXiv:1706.07581, 2017 - arxiv.org
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

[PDF][PDF] Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - scholar.archive.org
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - NeuroImage, 2017 - inria.hal.science
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: Small sample sizes lead to large error bars.

G Varoquaux - NeuroImage, 2018 - psycnet.apa.org
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - NeuroImage, 2017 - cea.hal.science
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: Small sample sizes lead to large error bars.

G Varoquaux - Neuroimage, 2017 - europepmc.org
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

Cross-validation failure: small sample sizes lead to large error bars

G Varoquaux - NeuroImage, 2017 - hal.science
Predictive models ground many state-of-the-art developments in statistical brain image
analysis: decoding, MVPA, searchlight, or extraction of biomarkers. The principled approach …

[引用][C] Cross-validation failure: Small sample sizes lead to large error bars

G Varoquaux - NeuroImage, 2018 - cir.nii.ac.jp