- Original dataset from UCI Machine Learning
- Objective: Predict failures and minimize costs based on sensor readings
- A simple implementation of LGBM mainly focused on applying diverse missing value imputation methods & oversampling methods
- Imputation: KNN, MICE, SMOTE, Simple
- Oversampling: KNN, SMOTE, ADASYN
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