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connect-4游戏数据集

connect-4游戏数据集

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Game Classification

Data Set Information:This database contains all legal 8-ply positions in the game of connect-4 in which neither player h......

数据结构 ? 389M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    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


    Original Owners of Database:

    John Tromp (tromp '@' cwi.nl)

    Donor:

    John Tromp (tromp '@' cwi.nl)


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