This dataset has a total of 3553 samples with a size of 13, features are real positive values and targets are real between 1000 and 3000.
| Algorithm | Model performance |
|---|---|
| Linear Regression + Polynomial Features | 0.02067345956704003 |
| Gradient Boosting Regressor | 0.12610201107980723 |
| K-Neighbors Regressor | -0.1956575117534145 |
| Decision Tree Regressor + Ada Boost Regressor | 0.025200951666729643 |
| Decision Tree Regressor + Bagging Regressor | 0.1218648622524763 |
| Random Forest Regressor | 0.1303632423343436 |
| Huber Regressor | -0.2150968619259983 |
| Theil Sen Regressor | -0.03935666883265565 |
| Linear Regression + Shuffle | 0.052494793812623786 |
| Commune | Etage | Superficie | Piece | Prix | |
|---|---|---|---|---|---|
| Commune | 1.0 | -0.15976914085263527 | 0.20950954048367096 | 0.05282241062499728 | 0.0770504304324702 |
| Etage | -0.15976914085263527 | 1.0 | 0.02088774679844994 | 0.03225100204879875 | 0.0028625214924493715 |
| Superficie | 0.20950954048367096 | 0.02088774679844994 | 1.0 | 0.7423177491115521 | -0.01459807463078822 |
| Piece | 0.05282241062499728 | 0.03225100204879875 | 0.7423177491115521 | 1.0 | -0.02782093484314777 |
| Prix | 0.0770504304324702 | 0.0028625214924493715 | -0.01459807463078822 | -0.02782093484314777 | 1.0 |
| Minimum | Maximum | Mode | Mean | Median | Standard deviation | Quantile [0.25, 0.5, 0.75] | |
|---|---|---|---|---|---|---|---|
| Commune | 1 | 28 | 4 | 13.17117117117117 | 13.0 | 8.574879777660525 | [4.0, 13.0, 22.0] |
| Etage | 1 | 15 | 1 | 3.1331644144144146 | 3.0 | 2.174971764738508 | [1.0, 3.0, 4.0] |
| Superficie | 1 | 250 | 75 | 95.88006756756756 | 90.0 | 33.34758832480636 | [75.0, 90.0, 115.0] |
| Piece | 1 | 9 | 3 | 3.516328828828829 | 3.0 | 0.8903647264348437 | [3.0, 3.0, 4.0] |
| Prix | 1000.0 | 3000.0 | 2000.0 | 1905.3470157657657 | 1800.0 | 553.3634995790693 | [1450.0, 1800.0, 2350.0] |
sudo pip install pandas
sudo pip install -U scikit-learn
sudo pip install numpy
sudo pip install matplotlib
git clone https://github.com/Sehaba95/Algiers-Apartment-Price-Prediction.git
cd Algiers-Apartment-Price-Prediction/Regressors
python AdaBoostRegressor.py
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