Analytical Science Advances, volume 3, issue 9-10

Cross‐validated permutation feature importance considering correlation between features

Hiromasa Kaneko ¹

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Department of Applied Chemistry, School of Science and Technology Meiji University Kawasaki Japan |

Publication type: Journal Article

Publication date: 2022-09-07

Wiley

Journal: Analytical Science Advances

scimago Q2

SJR: 0.480

CiteScore: 4.6

Impact factor: 3

ISSN: 26285452

DOI: 10.1002/ansa.202200018

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PubMed ID: 38716264

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CITATIONS

71 Total citations

70 Recent citations

100 Field Citation Ratio

3.8 Relative Citation Ratio

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Kaneko H. Cross‐validated permutation feature importance considering correlation between features // Analytical Science Advances. 2022. Vol. 3. No. 9-10.

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Kaneko H. Cross‐validated permutation feature importance considering correlation between features // Analytical Science Advances. 2022. Vol. 3. No. 9-10.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1002/ansa.202200018

UR - https://doi.org/10.1002/ansa.202200018

TI - Cross‐validated permutation feature importance considering correlation between features

T2 - Analytical Science Advances

AU - Kaneko, Hiromasa

PY - 2022

DA - 2022/09/07

PB - Wiley

IS - 9-10

VL - 3

PMID - 38716264

SN - 2628-5452

ER -

BibTex

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@article{2022_Kaneko,

author = {Hiromasa Kaneko},

title = {Cross‐validated permutation feature importance considering correlation between features},

journal = {Analytical Science Advances},

year = {2022},

volume = {3},

publisher = {Wiley},

month = {sep},

url = {https://doi.org/10.1002/ansa.202200018},

number = {9-10},

doi = {10.1002/ansa.202200018}

}

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Publisher

Wiley

Journal

Analytical Science Advances

scimago Q2

SJR

0.480

CiteScore

4.6

Impact factor

ISSN

26285452 (Print, Electronic)