4 months, 1 week ago

Second Semester Project for Machine Learning 2020/2021 Course

This is the second semester project for students enrolled in the Machine Learning 2020/2021 course (1000-2N09SUS) at the Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw.

Overview

The goal of this competition is to create an efficient forecasting model for predicting sales of products offered by the FitFood company at one of their FitBoxy locations in Poland (FitBoxy - Inteligentna lodówka).

More detailed competition rules are given in Terms and Conditions.

The description of the data and evaluation metric is in the Task description section. 

The submission system opens on Tuesday, May 18. The deadline for sending the solutions and reports is Friday, June 11, 23:59 GMT.

Terms & Conditions
 
 
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Provided data describe a short-term sales history of products offered in FitBoxy vending machines at various points of sales (PoS). The prediction targets from the SUS_project_training_targets.txt file, correspond to future 7-day sales of a given product at a particular location. 

The data is provided in a tabular format, with each row corresponding to a different instance. 

The data tables are provided as two CSV files with the ';' separator sign. They can be downloaded after the registration for the challenge. Both files (training and test sets) have exactly the same format. The target values for the training data is provided as a separate file.

The evaluation metric will be R^2. During the challenge, your solutions will be evaluated on a small fraction of the test set (5000 instances), and your best preliminary score will be displayed on the public Leaderboard. 

The submission format: the solutions need to be submitted as text files with predictions. The file should have exactly the same number of rows as the test data table (i.e. 70000 rows). In each row, it should contain exactly one real number expressing the predicted sales in the following 7 days.

In order to download competition files you need to be enrolled.
This forum is for all users to discuss matters related to the competition. Good manners apply!
There is no topics in this competition.

The competition is sponsored by QED Software

Rank Team Name Is Report Preliminary Score Final Score Submissions
1
Michał Kardaś
True 0.4743 0.480300 10
2
Nie_wiem_jak_sie_nazwac
True 0.4319 0.449100 2
3
Krzysztof Witczyński
True 0.4469 0.447100 31
4
Kajetan Husiatyński
True 0.4248 0.434800 18
5
aaaa11
True 0.4361 0.433100 24
6
TM
True 0.4381 0.432000 39
7
MateuszBiesiadowski
True 0.4324 0.430500 11
8
-_-
True 0.4236 0.424400 8
9
Marcin Abramowicz
True 0.4137 0.423100 14
10
Tomasz Cheda
True 0.4080 0.416900 6
11
GK
True 0.4185 0.414200 8
12
jc406120
True 0.4016 0.411500 3
13
Tomasz Patyna
True 0.4097 0.409900 10
14
MarcinKurowski
True 0.3930 0.406800 17
15
Rafał Czarnecki
True 0.3752 0.391600 6
16
2137
True 0.3579 0.375000 7
17
Michał Niedziółka
True 0.3487 0.350300 6
18
mg359198
True 0.3829 0.337600 7
19
tdtd
True 0.3215 0.331300 3
20
Jan Jurkowski
True 0.3592 0.318600 5
21
mo406269
True 0.3091 0.312600 10
22
MagdaMalinowska
True 0.2721 0.272800 15
23
sb406106
True -0.5238 -0.524200 1
24
-_-
True 0.4236 -1.443000 8