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R mlbench

Name: R mlbench

File size: 21mb

Language: English

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mlbench: Machine Learning Benchmark Problems. A collection of artificial and real-world machine learning benchmark problems, including. ZipData No. Repository CRAN. Date/Publication NeedsCompilation yes. R topics documented: maikcenanclem.funh. A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository. The regression problem Friedman 1 as described in Friedman () and Breiman (). Inputs are 10 independent variables uniformly distributed on the .

exclamation: This is a read-only mirror of the CRAN R package repository. mlbench — Machine Learning Benchmark Problems - cran/mlbench. You can load the standard datasets into R as CSV files. There is . You can learn more about the mlbench library on the mlbench CRAN page. In mlbench: Machine Learning Benchmark Problems. Description Usage Format Source References and were converted to R format by Friedrich Leisch.

mlbench: Machine Learning Benchmark Problems [email protected]> mlbench documentation built on May 30, , a.m. mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1). Arguments n number of patterns to create cl number of classes r radius at which the centers of the. Machine Learning Benchmark Problems. maikcenanclem.fun mlbench. A collection of artificial and real-world machine learning benchmark.

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