March 26th, 2007

World Domination

(no subject)


A couple of weeks ago I wrote a quick and dirty Python script that would scrape the local Zehrs flier and last night I tossed a GUI around it and hooked it up to a Bayesian classifier to have it filter between things I'm interested in and those that I'm not.

Unfortunately, it seems that the classifier is too unstable. Marking interest in a few things will drag over to the 'interested' side many other things, with no apparent relation. Telling it that I'm not actually interested in adult diapers will cause it to decide that I'm not interested in the items that I originally indicated interest in.

Can anybody who's more familiar with Bayesian classifiers explain why telling it I'm not interested in VEET IN-SHOWER HAIR REMOVER makes it think I'm less interested in MAPLE LEAF BACON, even though the two have no words in common?

I'm using a pair of classifiers, one for 'good' and the other for 'bad'. If one scores high and the other low, it gets marked interested or interested. Otherwise it's undecided.

Edit: Problem solved. Reason given in comments. Now it's working like a dream.
World Domination

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Yesterday, dualistic sent me the URL of the Zombie Infection Simulator. I'd seen it before, but this time I noticed that the source code was available, and so decided to try making my own variant.

The result is the Zombie Infection Simulator: Housewares Edition, where there are random chainsaws, cricket bats, sawn-off shotguns, etc. lying around for people to use to fight back against the hordes of the undead. With 10 weapons lying about at any given time, the humans tend to survive with some frequency, so I've dropped it down to 6 to see how it affects things.
Other changes include slightly improved survivor AI, although some of the improvements also improve the zombies.