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why columns are less in train and test data
28 Sep 2021, 04:33 · 7
why there are fewer columns in test data as compared to train data?
I think train data and test data columns should be the same except target column
It does not matter, do read the description well and make sure you do eda
The extras columns on the train set are a representation of the target. For example, where we have comppart, comment, sub, disc columns either/all of them as 1, the Target is 1 else 0. Therefore we can not provide the information on the test data.
can we change the target label as per our requirements?
@roshaan, please what do you mean by "change the target label"?
if certain columns have a value of 1, then the target is also 1, otherwise it's 0 @time calculator
This freedom transforms Melon Sandbox into an endlessly replayable experience where players can build complicated contraptions, test destructive weapons, set up comedic scenarios, or simply watch the satisfying interactions that emerge when physics-driven objects collide.
Train and test datasets don’t always have the same columns because the train set can include target-related or historical features that aren’t available at prediction time. As long as the test set contains all features that will be known when making predictions (excluding the target), this setup is valid and common in real-world problems. five nights at freddy’s 2