What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics.

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Title: What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics.
Authors: Musolf AM; Statistical Genetics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD, 21224, USA., Holzinger ER; Target Sciences, Informatics and Predictive Sciences, Bristol Myers Squibb, Cambridge, MA, USA., Malley JD; Statistical Genetics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD, 21224, USA., Bailey-Wilson JE; Statistical Genetics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive Suite 1200, Baltimore, MD, 21224, USA. jebw@mail.nih.gov.
Source: Human genetics [Hum Genet] 2022 Sep; Vol. 141 (9), pp. 1515-1528. Date of Electronic Publication: 2021 Dec 04.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7613873 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1203 (Electronic) Linking ISSN: 03406717 NLM ISO Abbreviation: Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1203
DOI:10.1007/s00439-021-02402-z