| Name : R-OkNNE
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.7
| Date : 2024-06-14 11:14:44
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| Group : Development/Libraries/Other
| Source RPM : R-OkNNE-1.0.1-lp153.2.7.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
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| Summary : A k-Nearest Neighbours Ensemble via Optimal Model Selection for Regression
|
Description :
Optimal k Nearest Neighbours Ensemble is an ensemble of base k nearest
neighbour models each constructed on a bootstrap sample with a random
subset of features. k closest observations are identified for a test
point \"x\" (say), in each base k nearest neighbour model to fit a
stepwise regression to predict the output value of \"x\". The final
predicted value of \"x\" is the mean of estimates given by all the
models. The implemented model takes training and test datasets and
trains the model on training data to predict the test data. Ali, A.,
Hamraz, M., Kumam, P., Khan, D.M., Khalil, U., Sulaiman, M. and Khan,
Z. (2020) < DOI:10.1109/ACCESS.2020.3010099>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
