There are 1.88 million clients in this dataset. There are 1.5 million clients in train and 380,000 clients in test.
The objective of this challenge is to create a machine-learning model that can forecast the probability of each customer becoming inactive and refraining from making any transactions for a period of 90 days.
Files
Description
Files
This file describes the variables found in train and test.
Is an example of what your submission file should look like. 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.
Train contains the target. This is the dataset that you will use to train your model.
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