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Averaged Results using Excel
Averaged Results using Excel
 
 
CS 699 Project Code & Data Sets
CS 699 Project Code & Data Sets
 
 
CS 699 Project Osama, Muhammad & Oruganti, Sravani
CS 699 Project Osama, Muhammad & Oruganti, Sravani
 
 
.Rhistory
.Rhistory
 
 
CS 699 Project Presentation Osama, Muhammad & Oruganti, Sravani.pptx
CS 699 Project Presentation Osama, Muhammad & Oruganti, Sravani.pptx
 
 
CS 699 Project Presentation.pptx
CS 699 Project Presentation.pptx
 
 
CS 699 Project Report Osama, Muhammad & Oruganti, Sravani.docx
CS 699 Project Report Osama, Muhammad & Oruganti, Sravani.docx
 
 
CS 699 Project Report Osama, Muhammad & Oruganti, Sravani.pdf
CS 699 Project Report Osama, Muhammad & Oruganti, Sravani.pdf
 
 
CS 699 Project.R
CS 699 Project.R
 
 
Full Clean Data.csv
Full Clean Data.csv
 
 
Heart Attack Detection Dataset.csv
Heart Attack Detection Dataset.csv
 
 
Osama_Muhammad, Oruganti_Sravani CS 699 Project Proposal.docx
Osama_Muhammad, Oruganti_Sravani CS 699 Project Proposal.docx
 
 
Osama_Muhammad, Oruganti_Sravani CS 699 Project Proposal.pdf
Osama_Muhammad, Oruganti_Sravani CS 699 Project Proposal.pdf
 
 

About

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.

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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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