[D] What do people think is the best way to predict wickets in cricket? Dataset provided if needed.
Hey guys, my company is running an open data science competition for the Cricket World Cup and I’m trying to have a go myself. I’ve done some research on some possible approaches but wondered if anyone else could think of another approach.
The approach I’ve tried (paper linked below):
– I created new attributes for things like form and consistency (as described in the paper)
– Then I’ve had a go at using Naïve bayes, random forest, multiclass SVM and decision tree classifiers to predict if a ball is a wicket. (but made a hash of it so far)
The dataset is about 1m points, 29 factors and about 4000 matches (recorded ball by ball), if people want to see I can post a link to the competition.