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shaunwang1350 / CreditLoans_MachineLearning

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Credit risk is an inherently unbalanced classification problem, as the number of good loans easily outnumber the number of risky loans. I employed Machine Learning techniques to train and evaluate models with unbalanced classes. I used imbalanced-learn and scikit-learn libraries to build and evaluate models using resampling. I also evaluated the…

random-forest classification-report credit-risk cluster-centroids randomoversampler smote-sampling tp-fp balanced-accuracy-scores
  • Updated Nov 19, 2020
  • Jupyter Notebook

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