On A Time Series Dataset, What Type Of Validation Technique Would You

1.	On A Time Series Dataset, What Type Of Validation Technique Would You Prefer?
Answer» This dataset is not a randomly distributed DATA and thus the standard techniques such as k-folds cannot be applied. Therefore a pattern based TECHNIQUE would be useful here and this is because it makes sure that all the sub-tasks flow in a well-defined SEQUENCE. There are no CHANCES of any errors that can be considered as a chronological order that CREATES issues related to the functionality of the model. This dataset is not a randomly distributed data and thus the standard techniques such as k-folds cannot be applied. Therefore a pattern based technique would be useful here and this is because it makes sure that all the sub-tasks flow in a well-defined sequence. There are no chances of any errors that can be considered as a chronological order that creates issues related to the functionality of the model.

On A Time Series Dataset, What Type Of Validation Technique Would You Prefer?

Answer»

This dataset is not a randomly distributed DATA and thus the standard techniques such as k-folds cannot be applied. Therefore a pattern based TECHNIQUE would be useful here and this is because it makes sure that all the sub-tasks flow in a well-defined SEQUENCE. There are no CHANCES of any errors that can be considered as a chronological order that CREATES issues related to the functionality of the model.

This dataset is not a randomly distributed data and thus the standard techniques such as k-folds cannot be applied. Therefore a pattern based technique would be useful here and this is because it makes sure that all the sub-tasks flow in a well-defined sequence. There are no chances of any errors that can be considered as a chronological order that creates issues related to the functionality of the model.

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