[MLSS 2015 Predictive Modeling Challenge] Online market purchase prediction

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
Classification
Evaluation metric
Area under the ROC curve (AUC)
Competition status
Completed
Started
2015/07/24 00:00 (Japan Standard Time)
Ends
2015/08/23 23:59 (Japan Standard Time)
Public/Private
Public
Invitation setting
Invitation only

Winners' Report

1st and 2nd place winner kindly share their solutions.

Download dataset and submission

You are only allowed to download the dataset and make a submission during the competition.

Final ranking

Final rank Nickname Final score Intermediate score
1 ly9988 0.95383 0.94939
2 Actla 0.94240 0.93589
3 htoze 0.93244 0.92917
4 sutkss 0.93099 0.92935
5 ya3r 0.92151 0.91904
6 vicarious 0.91642 0.91115
7 syama 0.91413 0.91461
8 eraser 0.88652 0.88488
9 Lito 0.84950 0.84218
10 Dmitry 0.84710 0.83210
11 hsk83 0.84197 0.83446
12 tqt 0.83730 0.83135
12 nk 0.83730 0.83135
12 University of Big Data 0.83730 0.83135
12 Massil 0.83730 0.83135
12 ronaldahmed 0.83730 0.83135
12 sz 0.83730 0.83135
18 hiroki6 0.61544 0.69614
19 kevinbm 0.49913 0.49812
20 tkg 0.43534 0.45409
21 SadSadCool 0.42739 0.44625
22 SHR 0.40141 0.37886

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

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