Classification with Feature Selection and Extraction Methods
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Updated
Aug 30, 2021 - Python
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forward-selection
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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
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Updated
Dec 16, 2022 - Python
Uses nearest neighbor algorithm to find which feature is the best indicator for a certain class attribute
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Updated
Dec 7, 2017 - Python
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