Hello, I have 3 datasets, 2016 (for train),2017(for validation) and 2018 (for scoring) and I am not sure how I should create the decision tree or neural network? I have only used 2 datasets in the past. The first one would be partitioned to get a train and a validation dataset, while the second one would be used for scoring. However, since I already have a separate dataset for the train and the validation this time around, I assume that data partitioning wont be needed? How would the decision tree or the neural network look like? Thank you! Carine
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