https://github.com/yuhexiong/red-wine-quality-random-forest-python

https://github.com/yuhexiong/red-wine-quality-random-forest-python

machine-learning python random-forest random-forest-classifier scikit-learn

Last synced: 6 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/yuhexiong/red-wine-quality-random-forest-python
• Owner: yuhexiong
• Created: 2023-12-09T11:45:24.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-14T13:29:43.000Z (about 1 year ago)
• Last Synced: 2024-12-02T12:13:34.878Z (2 months ago)
• Topics: machine-learning, python, random-forest, random-forest-classifier, scikit-learn
• Language: Python
• Homepage:
• Size: 180 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Red Wine Quality Random Forest

### DataSet From [Kaggle - Red Wine Quality](https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009)

## Overview

- Language: Python v3.9.15

- Package: Scikit-Learn

- Model: Random Forest

## Data Distribution

![image](https://github.com/yuhexiong/red-wine-quality-random-forest-python/blob/main/image/data_distribution.png)

## Correlation Matrix

![image](https://github.com/yuhexiong/red-wine-quality-random-forest-python/blob/main/image/correlation_matrix.png)

## Confusion Matrix - Accuracy Rate 94.0625%

![image](https://github.com/yuhexiong/red-wine-quality-random-forest-python/blob/main/image/confusion_matrix.png)