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FedCSIS 2022 Challenge: Predicting the Costs of Forwarding Contracts

FedCSIS 2022 Challenge: Predicting the Costs of Forwarding Contracts is the 8th data mining competition organized in association with Conference on Computer Science and Information Systems (https://fedcsis.org/). At this year's competition, the task is to predict the costs related to the execution of forwarding contracts. The challenge is sponsored by Control System Software (https://controlsystem.com.pl/).

The topic of this year's data mining competition is the prediction of the costs related to the execution of forwarding contracts. The data sets made available to participants contain 6 years of history of orders appearing on the transport exchange, along with details such as the type of order, basic characteristics of the shipped goods (e.g., dimensions, special requirements), as well as the expected route that a driver will have to cover. The task for the competition participants is to develop a predictive model that assesses the actual costs of individual orders as accurately as possible. Such a model will be used in the future to support Freight Forwarders in selecting profitable contracts. The sponsor of the competition is Control System Software – a software company that has been delivering solutions for the Transportation, Spedition, and Logistics industry for 20 years.

Special session at FedCSIS 2022: As in previous years, a special session devoted to the competition will be held at the conference. We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The papers will be indexed by the IEEE Digital Library and Web of Science. The invited teams will be chosen based on their final rank, innovativeness of their approach, and quality of the submitted report.

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Leaderboard
Rank Team Name Score Submission Date
1
hieuvq
0.1396 2022-05-16 07:07:20
2
Cyan
0.1403 2022-05-23 09:17:59
3
ML
0.1404 2022-05-25 23:03:29
4
amy
0.1404 2022-05-26 17:34:07
5
Dymitr
0.1405 2022-05-17 08:18:41
6
Lord of the Machine Learning
0.1447 2022-05-23 01:39:00
7
baseline
0.1491 2022-03-10 13:22:31
8
kubapok
0.1502 2022-03-24 14:28:14
9
DenseDropout
0.1505 2022-04-17 17:20:13
10
krzmip
0.1509 2022-05-5 07:24:00
11
DeepIf
0.1522 2022-05-26 13:06:59
12
Artur Budzyński
0.1549 2022-05-6 10:37:10
13
Nindza Zhelki
0.1586 2022-05-26 12:15:59
14
Stan
0.1596 2022-05-26 21:32:05
15
MEM
0.1615 2022-05-26 21:22:01
16
HBKU CS
0.1698 2022-05-26 21:16:34
17
Adma
0.1699 2022-04-27 17:39:25
18
aaaaacacsacs
0.1725 2022-05-26 20:39:22
19
hawkz
0.1731 2022-05-25 07:21:19
20
Aidan
0.1735 2022-04-21 13:39:26
21
Alex-POLSL
0.1742 2022-05-26 15:44:53
22
rdeggau
0.1757 2022-03-24 23:11:40
23
Paweł Putra
0.1764 2022-05-26 00:17:51
24
fabiolapereira
0.1783 2022-05-26 01:57:18
25
lov505
0.1813 2022-03-13 12:56:14
26
michalm
0.1824 2022-04-16 13:25:01
27
rllaskowski
0.1836 2022-05-26 21:01:21
28
flail1123
0.1865 2022-05-25 13:29:33
29
KaLambda
0.1894 2022-05-7 15:12:45
30
WhyNot
0.1938 2022-05-17 18:32:49
31
Mario
0.2030 2022-05-26 17:13:48
32
Łukasz Orlikowski
0.2288 2022-05-26 14:48:37
33
Gr4g45
0.2386 2022-03-10 18:04:29
34
team
0.2471 2022-05-26 18:28:45
35
Jakub Panasiuk
0.2627 2022-05-26 09:13:04
36
Vexam
0.3435 2022-05-25 12:55:57
37
Maksymilian Grochowski
0.3455 2022-05-25 16:51:23
38
Maciejs
0.6990 2022-05-8 20:28:27
39
Choraden
1.0615 2022-05-26 19:00:53

The task in this challenge is to design an accurate method for predicting costs associated with forwarding contracts, based on contract data and planned routes. The available training data sets describe a five-year history of contracts accepted by a large Polish company. In particular, the training data consist of two tables: css_main_training.csv and css_routes_training.csv. The first one contains basic information about the contracts, and the second one describes the main sections of the planned routes associated with each contract. In both tables, the first column (i.e., id_contract) contains identifiers that allow matching records from css_main_training.csv and css_routes_training.csv files. Additionally, the second column in the css_main_training.csv file (i.e., expenses) contains information about the prediction target. Values in this column are available only for the training data. Short descriptions of data columns will be available in separate files in the Data files section.

Additionally, for the convenience of participants, we provide an additional data table containing historical wholesale fuel prices for the period of training and test data.

Solution format: the test data is also divided into two separate tables, i.e., css_main_test.csv and css_routes_test.csv. They have the same format as the corresponding training files but values from the column expenses are missing in css_main_test.csv.

Solutions in this competition should be submitted to the online evaluation system as text files with predictions for test instances. Each row of the solution file should contain exactly one prediction. The ordering of the predictions should be the same as the ordering of instances from the css_main_test.csv file. In total, the solution file should contain exactly 72452 predictions.

Evaluation: the quality of submissions will be evaluated using the RMSE measure.  Solutions will be evaluated online and the preliminary results will be published on the public leaderboard. The preliminary score will be computed on a small subset of the test records, fixed for all participants. The final evaluation will be performed after the completion of the competition using the remaining part of the test records. Those results will also be published online. It is important to note that only teams which submit a report describing their approach before the end of the challenge will qualify for the final evaluation.

In order to download competition files you need to be enrolled.
  • May 27, 2022 (23:59 GMT): deadline for submitting the predictions
  • May 29, 2022 (23:59 GMT): deadline for sending the reports, end of the competition
  • June 03, 2022: online publication of the final results, sending invitations for submitting short papers for the special session at FedCSIS'22
  • July 01, 2022: deadline for submitting invited papers
  • July 08, 2022: notification of paper acceptance
  • July 21, 2022: camera-ready of accepted papers, and registration for the conference are due

Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors:

  •     1,000 USD for the winning solution (+ the cost of one FedCSIS 2022 registration)
  •     500 USD for the 2nd place solution (+ the cost of one FedCSIS 2022 registration)
  •     250 USD for the 3rd place solution (+ the cost of one FedCSIS 2022 registration)

Moreover, Control System Software may award an additional prize (250 USD + the cost of one FedCSIS 2022 registration) to the team that develops the most practical solution to the task.

  •     Antoni Jamiołkowski, QED Software
  •     Andrzej Janusz, QED Software & University of Warsaw
  •     Rafał Tyl, QED Software
  •     Jacek Kamiński, QED Software
  •     Michał Okulewicz, Control System Software
  •     Juliusz Taniewski, Control System Software

In case of any questions please post on the competition forum or write an email at contact {at} knowledgepit.ml

This forum is for all users to discuss matters related to the competition. Good manners apply!
  Discussion Author Replies Last post
when is the deadline to merge teams? M 2 by M
Saturday, May 14, 2022, 20:23:46
Test cases with no predictions Artur 2 by Artur
Wednesday, April 27, 2022, 23:05:54
the backend evaluation program stopped since evening around 10:30pm 22 April 2022 M 4 by M
Saturday, April 23, 2022, 16:17:08
Schedule update Andrzej 0 by Andrzej
Thursday, April 07, 2022, 17:02:44
Error reading csv files Debojit 2 by Debojit
Wednesday, March 30, 2022, 12:05:19
Route end datetime is earlier than route start datetime Henry 2 by Henry
Friday, March 25, 2022, 15:09:35
Important announcement Andrzej 0 by Andrzej
Friday, March 18, 2022, 11:51:05
Welcome to the FedCSIS 2022 Challenge Andrzej 0 by Andrzej
Tuesday, March 08, 2022, 17:24:43