Question
Hi, I have to create model which predicts the average traffic speed per hour on a busy road in Hong Kong.. 80% of the data
Hi,
I have to create model which predicts the average traffic speed per hour on a busy road in Hong Kong.. 80% of the data is training data and 20% is testing data.
There is some missing data in the testing data due to device malfunction. I will need to submit predicted results of the testing sample.
The breakdown of the data is below,
Training Dataset (14006 records)
ID
Date (01/01/2017 - 31/12/2018 - Every Hour)
Speed
Testing Dataset (3503 records)
ID
Date (01/01/2018 - 31/12/2018 - Scattered Hours)
Would someone be able to suggest the best approach to doing this?
What kind of model would work for this scenario?
Thanks,
Adam
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