The dataset provided by the Tunisian Ministry of Finance includes variables about tax analysis, taxpayer inspection, and VAT returns. The training dataset provided here is a subset of over 25,000 samples aggregated by year. You are provided with an anonymized dataset containing a large number of numeric variables. The "TARGET" column is the variable to predict. It equals the amount of the tax liability that the taxpayer has to adjust.
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Train contains the target. This is the dataset that you will use to train your model.
This shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the ID must be correct.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.