GitHub / FataiAzeez / stroke_prediction_rf_svm_lr
This repo evaluates Logistic Regression, Random Forest, and Support Vector Machine models for predicting stroke risk. Implemented in Python, the project includes data pre-processing, model training, and performance metric calculations
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PURL: pkg:github/FataiAzeez/stroke_prediction_rf_svm_lr
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 967 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago
Topics: binary-classification, hyperparameter-tuning, jupyter-notebooks, logistic-regression, model-evaluation, model-predictions, python, random-forest-classifier, smote-sampling, standardization, stroke-prediction, svm