분석시각화 대회 코드 공유 게시물은
내용 확인 후
좋아요(투표) 가능합니다.
[Private 24위] CatBoost, SMOTE
Approaches to solving :
1) Preparation
- Import packages
- Data loading
2) Preprocessing
- missing values check
- encoding (label + one-hot)
3) Analysis
- the side of label : distribution (for detecting if imbalanced )
- the side of features : visualization
- label vs. features : correlation
4) Modeling
- features selection
- CatBoost finally ( compared w/ ExtraTree ) using label oversampling methods
5) Submission
- CatBoost + SMOTE
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