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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

Furthermore, we looked at the probability of a touchdown and probability plots to evaluate calibration. 9.621 47.519 0.265 The following plot of the observed frequencies and predicted probabilities indicates a good calibration of our best model, with an RMSE of 0.27 k10 Baseline 0 4.074 9.62 47.585 0.306 k10 Baseline 5 4.075 9.626 47.43