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Extended ML Process for Investigating the Impact of Data Valuation Metrics on Feature Importance

Extended ML Process for Investigating the Impact of Data Valuation Metrics on Feature Importance

Source publication
Conference Paper
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This paper investigates the impact of data valuation metrics (variability and coefficient of variation) on the feature importance in classification models. Data valuation is an emerging topic in the fields of data science, accounting, data quality, and information economics concerned with methods to calculate the value of data. Feature importance o...

Context in source publication

Context 1
... Metrics on Feature Importance Fig. 1 displays the extended ML process used to investigate the impact of data value metrics on feature importance; it extends the process presented by ...