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polish-bankruptcy-data

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Lucamanfredi / Predicing-companies-bankruptcy

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Analyzed 64 financial ratios of 6 thousand companies that went bankrupt and built a Logistic Regression classification model to predict bankruptcy. Feature selection is performed with Simulated Annealing to extract the optimal subset of features that maximizes Accuracy rate.

feature-selection logistic-regression simulated-annealing smote classification-model polish-bankruptcy-data metaheuristic-optimisation
  • Updated Dec 26, 2020
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