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

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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.",

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AU - Dimagli, Arnaldo

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JO - Journal of Thoracic and Cardiovascular Surgery

JF - Journal of Thoracic and Cardiovascular Surgery

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

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