COSC 575 Project 2

COSC 575: Machine Learning

Project 5
Spring 2015

Due: Mon, Apr 27 @ 11:59 P.M.
10 points

Select one of your implementations from a previous assignment and modify it to handle weighted examples.
Implement Flach's Algorithm 11.3 as the executable Boosting. It is fine to hard code the boosted method, but I must be able to run the base method as an executable for the purpose of comparison.

The implementations must follow sound principles of object-oriented design and implementation. Implement each learner as a single executable. No windows. No menus. No prompts. Just do it.

The logic of the implementation should be the same as that for the previous implementations. If the user runs a learner and specifies only a training set, then the program should evaluate using 10-fold cross-validation and output the results. Naturally, the user can use the -x switch to change the default. Otherwise, if the user specifies both a training and testing set, then the program should build a model from the training set, evaluate it on the testing set, and output the results.

Instructions for Submission

In the header comments in at least the main file of your project, provide the following information:

//
// Name
// E-mail Address
// Platform: Windows, MacOS, Linux, Solaris, etc.
// Language/Environment: gcc, g++, java, g77, ruby, python.
//
// In accordance with the class policies and Georgetown's Honor Code,
// I certify that, with the exceptions of the class resources and those
// items noted below, I have neither given nor received any assistance
// on this project.
//

Submit via Blackboard. When you are ready to submit your program for grading, create a zip file of a single-level directory containing only your project's source, and upload it to Blackboard. The directory's name should be the same as your net ID. The zip file should be named p5.zip. If you used a new data set or modify an existing data set, include it in the zip unless it is large, in which case, put it somewhere and include a link with your submission. If you need to include a note with your submission, put the note in a README file in the directory. Make sure I have clear instructions on how to build and run your executables. If you're using C or C++, provide a Makefile. If you're using Java, do not use packages. Make sure compiling your project produces an executable with an appropriate name. If you need to include a note with your submission, put the note in a README file in the directory. Submit your project before 11:59 P.M. on the due date.