Analytics Vidhya Jantahack Customer Segmentation
Public Leaderboard Rank: 86
Private Leaderboard Rank: 89
Problem Statement
Data Description at a Glance:
Data after Merging and Feature Engineering:
Description of Approach/Feature Engineering:
- Merged train dataset and test dataset to form a merged dataset
- Label Encoded the categorical columns
- Added dummy columns
- Split the merged dataset to train and test dataset
- Applied LGBMClassifier with the previously tested parameters and fitted it
- Created the final.csv with the prediction of the LGBMClassifier model
Tools used
- Python
- pandas and numpy libraries for data manipulation
- LGBMClassifier for prediction
Score
The score obtained using this solution is 0.9352380952
Competition Result
Rank: 86th on public LB and 89th on private LB