Winter seminar for the Sungkyunkwan University Statistics Department Study P-SAT (February 1st ~ 8th, 2021)
- This repository contains all files that follow the workflow of data preprocessing - modeling - prediction, specifically designed in order to solve a binary classification issue in an imbalanced dataset.
- For reproduction, first download the related files given, 'train.csv' and 'test_feature.csv'.
- After downloading essential dataset files, follow path of '1.preprocess.ipynb' - '2.modeling.ipynb' - '3.prediction.ipynb'.
- List objects and pickle objects will follow naturally when running the files in the right order.
- This project is a variation of the Kaggle Challenge - Air pressure system failures in Scania trucks
