Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company;
Addressed the issue of imbalanced classes, different importance of each type of misclassification;
Tune Parameters using Model Cross Validation of best model GBM to achieve 0.99 accuracy, 0.987 recall and 0.99 f1 score.