KNN-CV-1
A Simple K-Nearest Neighbours Regression Model with Cross-Validation
KNN-CV-1A Simple K-Nearest Neighbours Regression Model with Cross-Validation
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This learning method was implemented by Carl Edward Rasmussen. A description of the method is available in postscript. The source code for the implementation is also available as a compressed tar file.
Results are available from running knn-cv-1 on most of the Delve datasets. You can either retrieve all of the results for knn-cv-1 as one large file, or you can retrieve the results for each dataset individually.
You can also get statistics that summarize the results by running mstats, but be warned, the server is very slow. Finally, you may want to jump to the dataset information pages to find out more about them, or what other methods have been run on them.
Results are available for the following datasets:
The kin family of datasets
| The pumadyn family of datasets
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Individual Datasets
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