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---
title: HCC CSA April24 Hackathon
emoji: 🌍
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 4.28.3
app_file: app.py
pinned: false
---
# Air Quality Prediction Model
This repository contains a machine learning model for predicting air quality based on AQI (Air Quality Index) values of various pollutants. The model is trained on a dataset sourced from Kaggle's Global Air Pollution Dataset.
## Dataset
- **Dataset Name**: Global Air Pollution Dataset
- **Dataset Source**: [Kaggle](https://www.kaggle.com/datasets/hasibalmuzdadid/global-air-pollution-dataset/)
- **Dataset Size**: 23,463 rows, 12 columns
## Model Performance
- **Model Name**: hackathonrf.joblib
- **Accuracy**: 99.91%
- **Classification Report**:
precision recall f1-score support
0 1.00 1.00 1.00 1926
1 1.00 0.91 0.95 45
2 1.00 1.00 1.00 1841
3 1.00 1.00 1.00 405
4 1.00 1.00 1.00 333
5 0.93 1.00 0.97 57
accuracy 1.00 4607
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