Use the sample_submission.csv file to store all your predicted values and then upload that file as your prediction file.
Download the data file. You are given a dataset with 22 attributes and 1031 tuples. We
have also provided a final Class column for 100 tuples to give you some reference to
match your cluster labels with the expected class labels.
You need to build a model using clustering only that can classify the given tuples
into two classes.
The evaluation metric for this competition is AUC Score.
Submission Format
For every author in the dataset
, submission files should contain two columns: id and Class. id must be exaclty similar to the one provided in the train dataset.