Classification with Feature Selection and Extraction Methods
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Aug 30, 2021 - Python
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forward-selection
Here are 6 public repositories matching this topic...
A Python implementation of feature selection algorithms using k-Nearest Neighbor classification. This project implements three different search strategies for finding optimal feature subsets: Forward Selection, Backward Elimination, and Simulated Annealing.
cli ai command-line validator feature-selection classification mit-license nearest-neighbors simulated-annealing nearest-neighbours-classifier forward-selection backward-elimination leave-one-out
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Dec 22, 2024 - Python
Classes reproducing certain results from sklearn
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Oct 8, 2025 - Python
Uses nearest neighbor algorithm to find which feature is the best indicator for a certain class attribute
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Dec 7, 2017 - Python
Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.
python machine-learning feature-selection naive-bayes-classifier logistic-regression balancing adaboost decision-trees svm-classifier smote random-forest-classifier recursive-feature-elimination forward-selection borderline-smote
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Dec 16, 2022 - Python
Self-Validated Ensemble Models (SVEM) for Python: lasso/elastic-net and forward-selection ensembles for small-sample design of experiments. Python counterpart of the R package SVEMnet.
machine-learning scikit-learn regression lasso chemometrics elastic-net design-of-experiments doe forward-selection svem
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Nov 1, 2026 - Python
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