UC Irvine Machine Learning Repository
UC Irvine Machine Learning Repository maintains a large number of datasets that are available for use by machine learning researchers. The current number of datasets in the repository is 171, with 113 datasets related to classification, 12 datasets related to regression, and the rest related to clustering and other tasks. Some of the more famous datasets include Iris, Adult, Abalone, Internet advertisements, etc.
The datasets in this repository are frequently used to compare and validate newly developed machine learning methods and related techniques. This is because these datasets had been used by many researchers to build models using different machine learning methods and thus a large number of models are available for comparison.
For students studying machine learning or machine learning practitioners who wish to hone their skills, these datasets present a good learning opportunity. Students can download these datasets and try to build models for them. Since most of these datasets had been used by other researchers, students can easily compare their models with exisiting models. In addition, students can also learn about the different methods that can be used to process and model the datasets from published literature.
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