https://github.com/yuhexiong/iris-classification-decision-tree-python

https://github.com/yuhexiong/iris-classification-decision-tree-python

cross-entropy decision-tree machine-learning python scikit-learn

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/yuhexiong/iris-classification-decision-tree-python
• Owner: yuhexiong
• Created: 2023-12-09T03:11:49.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-01T04:20:58.000Z (10 months ago)
• Last Synced: 2025-03-01T05:20:46.112Z (10 months ago)
• Topics: cross-entropy, decision-tree, machine-learning, python, scikit-learn
• Language: Python
• Homepage:
• Size: 354 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Iris Classification Decision Tree

### DataSet From [Kaggle - Iris Species](https://www.kaggle.com/datasets/uciml/iris)

## Overview

- Language: Python v3.9.15

- Package: Scikit-Learn

- Model: Decision Tree

- Loss Function: Cross Entropy

- Max Depth: 5, Min Samples Leaf: 3

## Run

### Run code

```bash

python iris-classification-decision-tree.py

```

### Run streamlit

```bash

streamlit run iris-classification-decision-tree-app.py

```

server running at `http://localhost:8501`

## Data

![Streamlit Data](./image/streamlit_data.png)

## Data Distribution

![Streamlit Sepal](./image/streamlit_sepal_length_vs_width.png)

![Streamlit Petal](./image/streamlit_petal_length_vs_width.png)

## Correlation Matrix

![Streamlit Correlation Matrix](./image/streamlit_correlation_matrix.png)

## Confusion Matrix - Accuracy Rate 96.67%

![Streamlit Confusion Matrix](./image/streamlit_confusion_matrix.png)

## Tree Plot

![Streamlit Tree Plot](./image/streamlit_tree_plot.png)