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Assignments Programming Exercise A & B Solution

    • Apply the Scikit Learn SVM Classifier to the Iris dataset using all three categories and all four feature at once and upload your .ipynb file.

    • Run the SVM model (at least) four times using a different kernel each time. Compare and discuss the results for each of the kernels.

    • Name your file lastname_firstname_AS04A.ipynb.

Programming Exercise B



    • Apply the Scikit Learn Decision Tree Classifier to the Iris dataset using all three categories and all four feature at once and upload your .ipynb file.

    • See if your choice of impurity measure makes a difference in your results.
    • Name your file lastname_firstname_AS04B.ipynb.








Programming Exercises (both A and B)


    • Discuss your findings.

    • Include all of your discussion in your .ipynb file and submit the file through Blackboard.

    • Do not clear your results after you last run so that I will be able to see your results without rerunning your code.

    • If you collaborate with anyone on this assignment, be sure to follow the collaboration guidelines in the syllabus.


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