A python notebook used to automate the process of looking for the best initial classification machine learning model.

This notebook will consist of a main function diagnose(), which takes X: a numeric values only DataFrame which has features, and y: a numeric values only DataFrame which has labels, and returns a DataFrame showing scores of trained models sorted descendingly.

This diagnosis will consist of these models:

• K Nearest Neighbour
• Logestic Regression
• Gaussian Naive Bays Classifier
• Decision Trees
• Boosted Trees
• Random Forest
• Support Vector Machine (rbf, linear, poly)