This week, you will use the Kaggle.com Company Bankruptcy PredictionLinks to an external site. data to classify whether companies will go bankrupt based on financial data $($Bankrupt$?).$

Management$/$Research Question

In layman$$s terms, what is the management$/$research question of interest, and why would anyone care?

Requirements

Conduct your analysis using a cross$-$validation design.

Conduct $/$ improve upon previous EDA.

Build the following models at a minimum.

Random Forest Classifier

Gradient Boosted Trees

Extra Trees

Conduct hyperparameter tuning for the following at a minimum.

n$\_$estimators $($number of trees$)$

max$\_$features $($maximum features considered for splitting a node$)$

max$\_$depth $($maximum number of levels in each tree$)$

splitting criteria $($entropy or gini$)$

Compare your models using the F$1-$Score on a $20\%$ validation set.

Generate predictions from your models, and submit at least two models to Kaggle.com for evaluation. Provide your Kaggle.com user name and a screen snapshot of your scores.