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forward-selection

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mosama1994 / Heart-Attack-Detection-using-Machine-Learning

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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
  • Updated Dec 16, 2022
  • Python

zimmshane / Feature-Selection-and-NN-Classifier

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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
  • Updated Dec 22, 2024
  • Python

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