Xente Fraud Detection Challenge
$4,500 USD
Accurately classify the fraudulent transactions from Xente's e-commerce platform
20 May–22 September 2019 23:59
685 data scientists enrolled, 335 on the leaderboard
Submission
published 25 May 2019, 00:25

Hi! I made my first submission and got a score of 0. Is it that the predicted target variables are to be changed into a new data type(e.g float or string) before submission?

no i have also had a score of zero once its because of the metric used f1 score

The F-measure is the harmonic mean of your precision and recall. In most situations, you have a trade-off between precision and recall. If you optimize your classifier to increase one and disfavor the other, the harmonic mean quickly decreases. It is greatest however, when both precision and recall are equal.

How did you get to resolve this problem