GodWin1100/Algerian-Forest-Fire
Domain:
environment and energyRecord type:
software
Creator:
God
Host:
EDA with different classification and regression model prediction for Algerian Forest Fire data set.
# Algerian Forest Fire
- EDA for Algerian Forest Fire dataset.
- Classification and Regression Models for predicting `Classes` between `fire` and `not-fire` and `Temperature` respectively.
# ML Models
## Regression
1. Linear
2. Lasso
3. Ridge
4. ElasticNet
5. SVR
6. Decision Tree
7. Random Forest
8. AdaBoost
9. XGBoost
10. CATBoost
11. Polynomial (degree 2)
## Classification
1. Logistic
2. K-Nearest Neighbor
3. SVC
4. Naive Bayes
5. Decision Tree
6. Random Forest
7. AdaBoost
8. XGBoost
9. CATBoost
# Deployed on Heroku
- Deployed Link: aff-prediction.herokuapp.com
- Classification Prediction API
- API: aff-prediction.herokuapp.com
- BODY: JSON data
```json
{
"day": 21,
"month": "Aug",
"Temperature": 36,
"RH": 58,
"Ws": 19,
"Rain": 0.0,
"FFMC": 88.6,
"DMC": 29.6,
"DC": 141.1,
"ISI": 9.2,
"Region": "Bejaia"
}
```
- Regression Prediction API
- API: aff-prediction.herokuapp.com
- BODY: JSON data
```json
{
"day": 21,
"month": "Aug",
"RH": 58,
"Ws": 19,
"Rain": 0.0,
"FFMC": 88.6,
"DMC": 29.6,
"DC": 141.1,
"ISI": 9.2,
"Classes": "fire",
"Region": "Bejaia"
}
```