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项目作者： nbegumc

项目描述 ：
Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest
高级语言： R
项目地址: git://github.com/nbegumc/Supervised-Learning-Methods-Applied-to-Heart-Failure-Clinical-Records.git


Supervised Learning Methods Applied to Heart Failure Clinical Records

Dataset used in this analysis consists of medical records of 299 heart failure patients of Faisalabad Institute of Cardiology and the Allied Hospital in Faisalabad (Pakistan), during April–December 2015.

Dataset was taken from https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records.



  • Exploratoy Data Analysis
  • Logistic Regression
  • Penalized Logistic Regression (LASSO)
  • Linear Discriminant Analysis
  • Decision Trees
  • Bagging
  • Random Forest




image of lr

supervised_final_report_1647668274058.pdf