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65 binary data sets

Emerging
1papers using it
2017first seen

The '65 binary data sets' is a benchmark containing various binary classification datasets used to evaluate the performance of machine learning classifiers and to assess the effectiveness of a recommender system for selecting appropriate classifiers based on dataset characteristics.

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Papers using 65 binary data sets (1)

65 binary data sets — datasets — recommender-systems