dbrizan / cs686-2018-01

CS 686-02 Spring, 2018

Lab 1

Practice python OOP by completing the implementation. Details on Canvas. Files are as follows:

• logger.py
• logger_test.py

Exercise: Logistic Regression (Not a Lab, but do it anyway):

Code for 2-class Logistic Regression:

• classifier.py -- the base class for all classifiers
• logistic_regression.py -- implementation of logistic regression in python, mostly from Machine Learning in Action
• test_logistic_regression_vs_synthetic_data.py -- functions to read and plot the data and the best-fit line from logistic regression

Data for 2-class Logistic Regression

• testSet.txt -- a synthetic dataset
• verify.txt -- a subset of the above, for demo only

Exercise: Decision Tree (Not a Lab, but do it anyway):

• animals.csv -- the data, inspired by Zoo animals