College Football Playoff Composition Prediction using Machine Learning

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Presentation transcript:

College Football Playoff Composition Prediction using Machine Learning Jerry Hao 12/07/2018

Executive summary COLLEGE FOOTBALL PLAYOFF, 4 TEAMS SELECTED BY COMMITTEE PREDICT WHAT TEAMS IN Matlab neural network tooLbox Multi-layer perceptron network

Data collected from espn, sports-reference Organize discrete data by my own written program in java Data includes records, total yards/G, passing yards, rushing yards on O/D

Plot to identify classification visually Define top 6 class1 6th -25th  class 2 Rest  class 3

Matlab neural network toolbox Train mlp with data from 2014, 2015, 2016 Test with data from 2017

Result TEAM OUTPUT ALABAMA 1.007 CLEMSON 0.941 NOTRE DAME 0.464 OHIO STATE 0.442 UCF 0.415 GEORGIA 0.405

dISCUSSION ACCURACY: ucf, OKLAHOMA BASED ON STATS MORE INFORMATION DATA INCLUDED