You chose Naive Bayes!

It took a while to train, but you were able to come up with a Naïve Bayes classification algorithm on this weird panda data. You start to think about what sort of priors you would even give it, but it looks like you don’t need to and panda sexual preferences is not something you want to think about more than you have to if the data’s fitting anyway. You’re not too sure how well the output is looking, cause you are not panda sex expert, but hey, data is data, what do ya do? How did you even get this job?

Not gonna get much better than this, good enough for government work

Try a Regression method instead

Try a Decision Tree Instead

Try a Neural Network, when in doubt…

Try Cleaning the data first

Published by B McGraw

B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process.

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