https://github.com/rachkat/random-foresst-analysis-r-studio-plotting-classification-tree
Classification analysis in R using the birthwt dataset. Built and compared Decision Tree and Random Forest models to predict low birth weight. Both achieved 71.05% accuracy, with Random Forest reducing overfitting and confirming maternal weight and age as key predictors.
https://github.com/rachkat/random-foresst-analysis-r-studio-plotting-classification-tree
classification data-analysis decision-trees machine-learning predictive-modeling r random-forest
Last synced: 9 months ago
JSON representation
Classification analysis in R using the birthwt dataset. Built and compared Decision Tree and Random Forest models to predict low birth weight. Both achieved 71.05% accuracy, with Random Forest reducing overfitting and confirming maternal weight and age as key predictors.
- Host: GitHub
- URL: https://github.com/rachkat/random-foresst-analysis-r-studio-plotting-classification-tree
- Owner: rachkat
- Created: 2025-09-20T20:45:23.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-20T20:53:47.000Z (9 months ago)
- Last Synced: 2025-09-20T22:22:49.020Z (9 months ago)
- Topics: classification, data-analysis, decision-trees, machine-learning, predictive-modeling, r, random-forest
- Homepage:
- Size: 1.71 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0