Conditional permutation importance revisited
نویسندگان
چکیده
منابع مشابه
Permutation importance: a corrected feature importance measure
MOTIVATION In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support ...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2020
ISSN: 1471-2105
DOI: 10.1186/s12859-020-03622-2