PredictPokemon 2 wiki!

You can find here brief information about the classifier and the selected attributes.

Classifier

Our best classifier is a voting scheme using IBk and a BayesNet.

• http://weka.sourceforge.net/doc.dev/weka/classifiers/meta/Vote.html
• http://weka.sourceforge.net/doc.dev/weka/classifiers/lazy/IBk.html
• http://weka.sourceforge.net/doc.dev/weka/classifiers/bayes/BayesNet.html

The non-default parameters in Weka are: Vote (-R PROD) , IBk (-K 100)

Selected attributes

• latitude
• longitude
• appearedMinute (Discretized into 4 bins)
• closeToWater
• urban
• midurban
• rural
• gymIn100m
• gymIn1000m
• pokestopIn250m
• pokestopIn2500m
• cooc_13
• cooc_16
• cooc_19
• cooc_96
• cooc_129
• (class)

Pokemon classes

We also combined the rarest pokemon in one single class. @semioniy worked out this list: 1,4,7,10,11,13,14,15,16,17,18,19,20,21,22,23,25,27,29,30,32,33,35,37,39,41,42,43,44,46,47,48,49,50,52,54,56,58,60,61,63,66,69,72,73,74,75,77,79,81,84,85,86,90,92,95,96,97,98,100,102,104,109,111,114,116,118,119,120,123,124,127,128,129,133,138,143,147 These are the top 78 pokemon. The rest will be combined.