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
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Updated
Dec 2, 2024 - Jupyter Notebook