Commentary: To underfit and to overfit the data. This is the dilemma

Umberto Benedetto; Arnaldo Dimagli

doi:10.1016/j.jtcvs.2019.12.079

Commentary: To underfit and to overfit the data. This is the dilemma

Umberto Benedetto^*
, Arnaldo Dimagli

^*Corresponding author for this work

Bristol Medical School (THS)

Research output: Contribution to journal › Editorial (Academic Journal) › peer-review

1 Citation (Scopus)

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Abstract

Risk modeling should always consider the drawback of overfitting due to the inclusion of a large number of parameters.

Original language	English
Number of pages	2
Journal	Journal of Thoracic and Cardiovascular Surgery
Early online date	11 Jan 2020
DOIs	https://doi.org/10.1016/j.jtcvs.2019.12.079
Publication status	E-pub ahead of print - 11 Jan 2020

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.jtcvs.org/article/S0022-5223(20)30066-0/fulltext . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 481 KBLicence: CC BY-NC-ND

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title = "Commentary: To underfit and to overfit the data. This is the dilemma",

abstract = "Risk modeling should always consider the drawback of overfitting due to the inclusion of a large number of parameters.",

author = "Umberto Benedetto and Arnaldo Dimagli",

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T2 - To underfit and to overfit the data. This is the dilemma

AU - Benedetto, Umberto

AU - Dimagli, Arnaldo

PY - 2020/1/11

Y1 - 2020/1/11

N2 - Risk modeling should always consider the drawback of overfitting due to the inclusion of a large number of parameters.

AB - Risk modeling should always consider the drawback of overfitting due to the inclusion of a large number of parameters.

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DO - 10.1016/j.jtcvs.2019.12.079

M3 - Editorial (Academic Journal)

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SN - 0022-5223

JO - Journal of Thoracic and Cardiovascular Surgery

JF - Journal of Thoracic and Cardiovascular Surgery

ER -

Commentary: To underfit and to overfit the data. This is the dilemma

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