# How to identify if there is a relationship between 5 categorical independent variables to a binary dependent variable?

My dataset has 5 independent variables, each with a value of either Large, Medium or None and a binary dependent variable. The dataset has 67 rows with a split of 17:50.

I would like to identify if there is a relationship between the independent variables and the dependent variable and to explore which variables/set of variables have the largest impact on the result.

Most of the solutions I have checked so far (Nominal Variable Association and Cramér's V) don't support more than one independent variable.

In python, you can use sklearn to achieve it. feature_importances_ will give you Gini's importance of the features and the plot_tree() function to see the structure of the tree. This article might also help to see how to do that.