Review : All issues in one

1. General: remove ./data mention from everywhere.
2. Evaluation criteria: remove log loss, remove the 2 invalid equation error in this section. log loss cannot be used as in submission the probability is not being taken , only binary values are taken.
3. Submission: small change in the first sentence. Prepare a csv containing header as label and predicted value as digit 1 if bank notes are genuine and digit 0 if the notes are forged , name the file as submission.csv.
4. Files: i am not writing this explicitly. follow the pattern of https://gitlab.aicrowd.com/aicrowd/practice-challenges/aicrowd_ADCLK_challenge, the takeaway is to NOT use words like validation and training here, we do not want any prejudice for the solver. give information as clearly as possible.
5. Dataset: The basic idea for dataset is to be very detailed and simple to understand. your dataset is good in this aspects. next issue highights small mistakes in dataset