Published on 11 September 2024

Constructing CIs for 'the' Generalization Error

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Fischer, Sebastian;Schulz-Kümpel, Hannah

Description

This data contains information that is too large to be included in our GitHub repository: https://github.com/slds-lmu/paper_2023_ci_for_ge.After downloading the data you need to first extract/decompress it.The files are:* results - Result datasets that need to be moved into the the GitHub repository in order to reproduce the analysis from the paper. Both the raw and processed datasets are contained.* figures-granular - additional figures on a very granular levelThe folders also contain READMEs describing the datasets and figures.If you want to work with the datasets (all in .rds format) but don't want to work in R, you can simply load them in R (using readRDS()) and then convert them e.g. to csv using the write.csv function.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

85%

Source

Open Alex

Keywords

Machine learningStatistics and probability

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00