Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Connect-4 Data Set
Download: Data Folder, Data Set Description

Abstract: Contains connect-4 positions

Data Set Characteristics:  

Multivariate, Spatial

Number of Instances:

67557

Area:

Game

Attribute Characteristics:

Categorical

Number of Attributes:

42

Date Donated

1995-02-04

Associated Tasks:

Classification

Missing Values?

No

Number of Web Hits:

58213


Source:

Original Owners of Database:

John Tromp (tromp '@' cwi.nl)

Donor:

John Tromp (tromp '@' cwi.nl)


Data Set Information:

This database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced.

x is the first player; o the second.

The outcome class is the game theoretical value for the first player.


Attribute Information:

Attribute Information: (x=player x has taken, o=player o has taken, b=blank)

The board is numbered like:
6 . . . . . . .
5 . . . . . . .
4 . . . . . . .
3 . . . . . . .
2 . . . . . . .
1 . . . . . . .
a b c d e f g

1. a1: {x,o,b}
2. a2: {x,o,b}
3. a3: {x,o,b}
4. a4: {x,o,b}
5. a5: {x,o,b}
6. a6: {x,o,b}
7. b1: {x,o,b}
8. b2: {x,o,b}
9. b3: {x,o,b}
10. b4: {x,o,b}
11. b5: {x,o,b}
12. b6: {x,o,b}
13. c1: {x,o,b}
14. c2: {x,o,b}
15. c3: {x,o,b}
16. c4: {x,o,b}
17. c5: {x,o,b}
18. c6: {x,o,b}
19. d1: {x,o,b}
20. d2: {x,o,b}
21. d3: {x,o,b}
22. d4: {x,o,b}
23. d5: {x,o,b}
24. d6: {x,o,b}
25. e1: {x,o,b}
26. e2: {x,o,b}
27. e3: {x,o,b}
28. e4: {x,o,b}
29. e5: {x,o,b}
30. e6: {x,o,b}
31. f1: {x,o,b}
32. f2: {x,o,b}
33. f3: {x,o,b}
34. f4: {x,o,b}
35. f5: {x,o,b}
36. f6: {x,o,b}
37. g1: {x,o,b}
38. g2: {x,o,b}
39. g3: {x,o,b}
40. g4: {x,o,b}
41. g5: {x,o,b}
42. g6: {x,o,b}
43. Class: {win,loss,draw}


Relevant Papers:

N/A


Papers That Cite This Data Set1:

Alan Burton and Paul H J Kelly. Performance Prediction of Paging Workloads Using Lightweight Tracing. IPDPS. 2003. [View Context].

Shi Zhong and Weiyu Tang and Taghi M. Khoshgoftaar. Boosted Noise Filters for Identifying Mislabeled Data. Department of Computer Science and Engineering Florida Atlantic University. [View Context].


Citation Request:

Please refer to the Machine Learning Repository's citation policy


[1] Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info

Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML