OkNNE
A k-Nearest Neighbours Ensemble via Optimal Model Selection for Regression
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.
- Version1.0.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release12/19/2022
Team
Amjad Ali
Zardad Khan
Show author detailsRolesAuthor, Thesis advisorMuhammad Hamraz
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Last 30 days
This package has been downloaded 154 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
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Last 365 days
This package has been downloaded 2,653 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 68 downloads.
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Dependencies
- Imports1 package