Predicting the occurrence of strokes using the language R

摘要

Probability of stroke is analyzed based on data from Stroke.md system. Selection of features that significantly affect target variable was made. To solve the problem, classification algorithms are used: support vector machines, logistic regression, decision trees, random forest and others; comparison of the resulting mathematical models; preprocessing and building models produced in R-language.