Garbage In, Garbage Out. It is all in what data you feed the program and how it uses it. It obviously weighs some factors differently than it should. The fact that Clemson is that far ahead of ND makes little sense
Garbage In, Garbage Out. It is all in what data you feed the program and how it uses it. It obviously weighs some factors differently than it should. The fact that Clemson is that far ahead of ND makes little sense
* This system does not make predictions. I make predictions for this
system by translating it to a new scale that allows for making predictions.
Retrodictive records are found by taking the ratings from the current week
and applying them to the entire season to date.
The ideal system would be one that has the highest correct game decisions,
has the smallest mean error(deviation from the actual game result), and has
a bias of zero.
Mean Error = average[abs(prediction-actual)]
Bias = agerage(prediction - actual)
Std. = Standard Deviation of individual game biases
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