Computer Science
4 years ago

Optimal training set sizes for classification models save costs and improve accuracy.

arXiv (Cornell University)
Recommending Training Set Sizes for Classification
Phillip Koshute, Jared Zook, Ian McCulloh

Paper Summary

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The article recommends training set sizes for classification tasks based on a study of 20 data sets. By testing different sizes and methods, the researchers suggest using between 3000 and 30000 data points for accurate models. This can save costs and improve predictive modeling outcomes.