What is it about?
Data quality and data complexity affect the outcome of data analysis. This article models this contribution and presents a method for quantifying this effect on data classification results.
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Why is it important?
Anticipating the result of an analysis avoids wasting time and computational resources. The model proposed in the article allows measuring quality and complexity for better control of the analysis result.
Read the Original
This page is a summary of: Modeling the combined influence of complexity and quality in supervised learning, Intelligent Data Analysis, September 2022, IOS Press, DOI: 10.3233/ida-215962.
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