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Mtoto News Childline Kenya Call Volume Prediction Challenge

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Missing hours in the sample submission file
Data · 21 Jul 2019, 12:02 · 3

I noticed that the 'Sample_Submission.csv' file is missing many hours in the 24-hour sequence over the 56-day prediction period (from July 13th to September 6th). If the call center is open 24 hours every day, the prediction would be for 1344 hours (56*24); however, I note that the prediction hours specified in the 'Sample_Submission.csv' only covers 1184 hours. For example, I find that there is a gap between ' 2016071516' and '2016071809'. Is this intentional? If so, I hadn't accounted for this initially and will need to modify the test submission output.

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Lawrence_MoruyeAmbassador
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Sample submission is not the test dataset.It is actually included to show you how your submission file should look

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Thank you. Just to clarify, the omission of hours from the sample submission csv file is intended? So, our submission would also skip these hours as well? Thanks!

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Lawrence_MoruyeAmbassador
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No.All the hours witghin the specified range Must be included.You can use date_ranage to generate the the dates and specifiy your frequency has hours.For example date_rng = pd.date_range(start='13/07/2016', end='16/09/2016', freq='H') generates all hours between 13th Jult and 16th oct.Hope this helps!

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