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GitHub / shanuhalli / Assignment-Random-Forest

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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shanuhalli%2FAssignment-Random-Forest

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 2.82 MB
Dependencies: 0

Created: over 1 year ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago

Topics: adasyn, assignment-15, classification, counter, feature-selection, grid-search-cv, imbalanced-data, imblearn, machine-learning, pipeline, random-forest, sklearn-metrics, smote, smotetomek, standard-scaler

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