Brain-Stroke-Analysis-Classification rilufiyy · COMPLETED
This project analyzes and predicts brain stroke risk using Random Forest, SVM, and a Simple ANN. It includes data preprocessing, outlier detection, and feature encoding. Models are compared using accuracy, precision, recall, and F1-score to identify the most effective stroke prediction approach.
github.com/rilufiyy/Brain-Stroke-Analysis-Classification · ★ 0 · Forks 0 · Size 88 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 3 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-10
Last commit 2025-11-14
Active months 1
Commits 3