Heart-disease-prediction-using-decisiontree
PublicDeveloped a predictive model for heart disease using Decision Tree Algorithm to provide early diagnosis, performed Exploratory Data Analysis to find out the exact affecting symptom , visualized the data set using Matplolib, seaborn libraries For improving performance of Decision tree model, Got the accuracy of 84.6% by performing depth up to 15
decision-tree-classifiergridsearchcvhyperparameter-optimizationmatplotlibrandomsearch-cvsckiit-learnseaborn
Creat：2023-11-30T01:44:33
Update：2023-11-30T01:46:41
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