I just completed working through Chapter 7 of Programming Collective Intelligence (PCI). This chapter demonstrates how, when and who you should use the decision tree construct. The method described was the CART technique.
The basic summary is: A decision tree has each branch node represent a choice between a number of alternatives, and each leaf node represents a decision or (classification). This makes decision tree another supervised machine learning algorithm useful in classifying information.
The main problem it overcome in defining a decision tree is how to identify the best split of the data points. To find this you need to go through all the sets of data, and identify which will give you the best split (gain) and start from there.
For some more technical information about this split / gain:
The biggest advantages I see in using a decision tree are:
It's easy it is to interpret and visualise.
Data didn't need to be normalised or something between -1 and 1.
Decision trees however cant be effectively used on large datasets with a large number of results.
As with my previous Classifiers post, I ended up using SQLite in memory db as it's such a pleasure to use. I did venture into using LambdaJ, but it actually ended up being such an ugly line of code I left it and simply did it manually. I have not looked at the Java 8 implementation of lambdas yet, I just hope it doesn't end in code like (with a whole bunch of static imports):
falseList.add(filter(not(having(on(List.class).get(col).toString(), equalTo((String) value))), asList(rows)));
So my java implementation of the PCI decision tree ended up looking like (All code in Github) :
(once again ... about 50% more code :) ).. really beginning to enjoy Python, I do see me using that for all future AI / ML type work as a first choice.
I make no claim to be a "computer scientist" or a software "engineer", those titles alone can spark some debate, I regar...
I have recently been slacking on content on my blog, between long stressful hours at work and to the wonderful toy that is an iPhone, I have...
I saw an article (well more of a rant) the other day, by Rob Williams Brain Drain in enterprise Dev . I have to say, I do agree with some o...
This series of posts will be about me getting to grips with JBoss Drools . The reasoning behind it is: SAP bought out my company's curre...
I recently finished 97 Things every programmer should know . Well to be completely honest I did skim over a couple of the 97, but all and al...