Here we're going to develop a Naïve Bayes classifier. Later in the week, we'll
use it for segmenting the sentences out of English text!

Full instructions for the homework are here:
http://www.cs.indiana.edu/~alexr/nlpclass_2012/hw2.html

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| about the datasets |
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I've already split the data sets into training and test sets for you, and made
sure they're all in the same format. The three datasets, found in the datasets/
directory, are...

** iris
Given some measurements of the sizes of different parts of a flower, predict
what species it is, out of three different species of Iris.
Based on: http://archive.ics.uci.edu/ml/datasets/Iris

** house-votes-84
Given votes on a bunch of different laws, predict the political party of a
congress-person.
Based on: http://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records 

** balance-scale
For a scale with a left weight and a right weight, predict whether the scale
will tip to the left, to the right, or be balanced, given the weight's
distances and their weights.
Based on: http://archive.ics.uci.edu/ml/datasets/Balance+Scale
