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Results tagged with cross-validation
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user 81995
Refers to general procedures that attempt to determine the generalizability of a statistical result. Cross-validation arises frequently in the context of assessing how a particular model fit predicts future observations. Methods for cross-validation usually involve withholding a random subset of the data during model fitting and quantifying how accurate the withheld data are predicted and repeating this process to get a measure of prediction accuracy.
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Advice and Ideas appreciated - Machine Learning one man project
I have a project where I am supposed to start from scratch and learn how machine Learning works. So far everything is working out better than expected but I feel as I am offered to many ways to choose …
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How to construct validation set for time series for NN?
Im new to the topic too but I think the Idea is to create a Train/Test-Set and then take the TrainSet and Split it again in 2 Sets (mostly called Train and Development Set) for example with a KFold-CV …
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