Nama Anggota | NRP |
---|---|
Farah Dhia Fadhila | 5025211030 |
Salsabila Fatma Aripa | 5025211057 |
Katarina Inezita | 5025211148 |
Alfa Fakhur Rizal Zaini | 5025211214 |
Prediction of Flood Probability using regression and ensemble method. The dataset used is from Kaggle Competition (https://www.kaggle.com/competitions/playground-series-s4e5) and the goal is to predict the probability of a region flooding based on various factors.
There are 4 scenarios:
- Scenario 1: Remove outliers + Standard Scaler
- Scenario 2: Remove outliers + MinMax Scaler
- Scenario 3: No remove outliers + Standar Scaler
- Scenario 4: No remove outliers + MinMax Scaler
Those scenarios will be implemented into 4 regression method:
- Linear Regression
- Logistic Regression
- XGBoost
- Light GBM
The models will be evaluated based on MSE, RMSE, and R2.