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:Amjad Ali [aut, cre, cph], Muhammad Hamraz [aut], Saeed Aldahmani [aut], Zardad Khan [aut]

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)

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Last updated 2 years agofrom:7de7b4104a. Checks:OK: 2. Indexed: yes.

Exports:ExNRule

Dependencies:FNN