Package: ExNRuleEnsemble 0.1.1
Amjad Ali
ExNRuleEnsemble: A k Nearest Neibour Ensemble Based on Extended Neighbourhood Rule
The extended neighbourhood rule for the k nearest neighbour ensemble where the neighbours are determined in k steps. Starting from the first nearest observation of the test point, the algorithm identifies a single observation that is closest to the observation at the previous step. At each base learner in the ensemble, this search is extended to k steps on a random bootstrap sample with a random subset of features selected from the feature space. The final predicted class of the test point is determined by using a majority vote in the predicted classes given by all base models. Amjad Ali, Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan (2022) <doi:10.48550/arXiv.2205.15111>.
Authors:
ExNRuleEnsemble_0.1.1.tar.gz
ExNRuleEnsemble_0.1.1.tar.gz(r-4.5-noble)ExNRuleEnsemble_0.1.1.tar.gz(r-4.4-noble)
ExNRuleEnsemble_0.1.1.tgz(r-4.4-emscripten)ExNRuleEnsemble_0.1.1.tgz(r-4.3-emscripten)
ExNRuleEnsemble.pdf |ExNRuleEnsemble.html✨
ExNRuleEnsemble/json (API)
# Install 'ExNRuleEnsemble' in R: |
install.packages('ExNRuleEnsemble', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ILPD - Indian Liver Patient Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:7de7b4104a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux | OK | Dec 07 2024 |
Exports:ExNRule
Dependencies:FNN
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The Extended Neighbourhood Rule for k Nearest Neibour Ensemble | ExNRule |
Indian Liver Patient Dataset | ILPD |