Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[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)
https://www.researchgate.net/publication/323611656_Predicting_Players’_Performance_in_One_Day_International_Cricket_Matches_Using_Machine_Learning)
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.

submitted by /u/DaveatAuquan
[link] [comments]