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random-oversampling

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maheshvarade / Poland-Bankruptcy-Prediction

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Poland Bankruptcy Prediction (2009) This project aims to predict whether a Polish company went bankrupt in 2009 based on its financial data. The dataset contains several features derived from companies' balance sheets, and the goal is to build models that can identify bankruptcy effectively — despite the challenge of high class imbalance.

pca-analysis decision-tree-classifier random-forest-classifier random-undersampling roccurve simpleimputer smote-sampling make-pipeline random-oversampling standerdscaler
  • Updated Apr 18, 2025
  • Jupyter Notebook

msikorski93 / Credit-Card-Fraud-Detection

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A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.

tensorflow naive-bayes credit-card-fraud logistic-regression k-means binary-classification f1-score resampling-methods k-nearest-neighbors adasyn random-undersampling light-gradient-boosting-machine near-miss smote-enn class-imbalance-handling random-oversampling balanced-bagging
  • Updated Dec 2, 2024
  • Jupyter Notebook

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