Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
machine-learning counter pipeline random-forest feature-selection classification imbalanced-data smote adasyn imblearn sklearn-metrics smotetomek grid-search-cv standard-scaler assignment-15
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Updated
Feb 5, 2023 - Jupyter Notebook