There are individual scripts for the individual ML classifying algorithms. The AML_project2.py will run all three scripts. So just do

python AML_project2.py

Your Python script prints a summary of your exploration:

• How many features/attributes does the dataset have?

• What is the class distribution?

  • How many instances in class1, how many in class2, …

  • Visual display of the instances (data points) with different classes colored differently

    • If you have more than 3 attributes in your dataset, you can plot the data points in reduced dimensions (2 or 3)

• Dataset partition (training, testing); how many percent of the data is used for training and how many percent for testing

• Confusion matrices:

  • kNN

  • logistic regression

  • SVM