This competition is a part of the MLSS 2015 Predictive Modeling Challenge.
In this competition, you are asked to predict which the items a customer will buy in an online market. You are provided with a browsing behavior log, recorded from 03-31-2015 to 04-06-2015. Using the data, estimate the probability of a customer buying an item in a given time period (from 04-07-2015 to 04-09-2015).
- Problem type
- Evaluation metric
- Area under the ROC curve (AUC)
- Competition status
- 2015/07/24 00:00 (Japan Standard Time)
- 2015/08/23 23:59 (Japan Standard Time)
- Invitation setting
- Invitation only
Download dataset and submission
You are only allowed to download the dataset and make a submission during the competition.
|Final rank||Nickname||Final score||Intermediate score|
|12||University of Big Data||0.83730||0.83135|
This leaderboard is calculated on the latest submissions.
The intermediate scores are calculated using 50% of the test dataset, and the final scores are calculated using the other 50%.
Final ranks are determined according to the final scores.
Scores over time (Final score)
Your submission timeline
You have not made any submission yet.