CS 251: Assignment #7

The Weka Explorer

Due Wednesday 17 April 2013

The goal of this week's lab is to learn how to use the Weka Explorer interface to the Weka machine learning tools.


Tasks

  1. Go through the tutorial in the Data Mining text, chapter 17 sections 1-3.
  2. Download the Bird Arrivals Summary data file. Use the Weka Explorer to see if you can predict whether a bird is a warbler based on its arrival pattern using a decision tree, and at least three other classifier methods.

    For each case, analyze the resulting classifier and discuss what it is doing in your writeup. Diagrams help here.

    Note that the types row has been deleted from this version of the CSV file because it confuses Weka.

    Alternatively, you may use another data set of your choice where you are trying to predict one variable based on multiple other independent variables. Please talk with the prof before you take this option.

  3. Using your program from last week, try clustering the Bird Arrivals Summary data with between 5-10 clusters and summarize your results (this version has the types row). Do the groupings make sense to you?

Extensions


Writeup

For this week's writeup, create a brief wiki page that shows screenshots of your results from Explorer. For each screen shot briefly explain what they mean, and what they show.

Handin

Once you have written up your assignment, give the page the label:

cs251s13project7

There is no code to handin this week unless you wrote code specifically to do an extension.