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Ava33343 / Risky_Business

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Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appear…

machine-learning svm scikit-learn ensemble-learning confusion-matrix adaboost decision-trees gradient-boosting statstics false-positive random-forest-classifier false-negative logisticsregression roc-curves recall-precision smoteenn smote-oversampler
  • Updated Jul 24, 2020
  • Jupyter Notebook

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