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Data Collection/TrainingDataCollection is used to collect the dataset from the Fantasy Premier League api
- It collects all possibly relevant information however some columns may be excluded during model training
- PlayerData.csv is the generated csv file after TrainingDataCollection is run
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Model/EvaluateClassifier evaluates the trained classifier using 10 fold cross validation.
- EvaluateClassifier returns the correlation coefficient and the mean absolute error
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Model/TestClassifier allows a user to input player information (unlabeledPlayerData.csv) to predict the performance of the player for the next X (currently 3) weeks.
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