Paul Komarek Ting Liu Andrew Moore John Ostlund
Point of contact: Saswati Ray
This program performs fast dense K Nearest Neighbor classification. It can be used to train a model and produce an ROC curve based on a testset or k-fold cross-validation. Along with the ROC curve, the program will output an AUC score and a list of predictions for the data.
Auton Fast Classifiers, K Nearest Neighbor, Life Science Data Mining
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| Filename | Description | Update time | Size | Permission required |
|---|---|---|---|---|
| Documentation | ||||
| afc_knn_dense_doc.html | documentation | 9/1/05 4:36:03 PM | 24.5 kB | |
| Graphical version | ||||
| afc_knn_dense_linux_gui.tar.gz | Linux x86 package | 9/1/05 4:36:03 PM | 2.6 MB | Yes |
| afc_knn_dense-gui-setup.exe | Windows package | 9/1/05 4:36:00 PM | 1.3 MB | Yes |
| Command-line version | ||||
| afc_knn_dense_linux_cli.tar.gz | Linux x86 command line package | 9/1/05 4:35:58 PM | 583.0 kB | Yes |
| afc_knn_dense-cli-setup.exe | Windows command line package | 9/1/05 4:35:57 PM | 865.5 kB | Yes |
| Library for programmers | ||||
| afc_knn_dense_linux_api.tar.gz | Linux x86 library | 9/1/05 4:36:08 PM | 1.6 MB | Yes |
| afc_knn_dense_win_api.zip | Windows library | 9/1/05 4:36:06 PM | 2.2 MB | Yes |