Chess (King-Rook vs. King-Pawn)
Donated on 7/31/1989
King+Rook versus King+Pawn on a7 (usually abbreviated KRKPA7).
Dataset Characteristics
Multivariate
Subject Area
Games
Associated Tasks
Classification
Feature Type
Categorical
# Instances
3196
# Features
35
Dataset Information
Additional Information
The dataset format is described below. Note: the format of this database was modified on 2/26/90 to conform with the format of all the other databases in the UCI repository of machine learning databases.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| bkblk | Feature | Categorical | no | ||
| bknwy | Feature | Categorical | no | ||
| bkon8 | Feature | Categorical | no | ||
| bkona | Feature | Categorical | no | ||
| bkspr | Feature | Categorical | no | ||
| bkxbq | Feature | Categorical | no | ||
| bkxcr | Feature | Categorical | no | ||
| bkxwp | Feature | Categorical | no | ||
| blxwp | Feature | Categorical | no | ||
| bxqsq | Feature | Categorical | no |
0 to 10 of 36
Additional Variable Information
Attributes: see Shapiro's book.
Class Labels
Classes (2): -- White-can-win ("won") and White-cannot-win ("nowin"). I believe that White is deemed to be unable to win if the Black pawn can safely advance.
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset chess_king_rook_vs_king_pawn = fetch_ucirepo(id=22) # data (as pandas dataframes) X = chess_king_rook_vs_king_pawn.data.features y = chess_king_rook_vs_king_pawn.data.targets # metadata print(chess_king_rook_vs_king_pawn.metadata) # variable information print(chess_king_rook_vs_king_pawn.variables)
Shapiro,Alen. (1989). Chess (King-Rook vs. King-Pawn). UCI Machine Learning Repository. https://doi.org/10.24432/C5DK5C.
@misc{misc_chess_(king-rook_vs._king-pawn)_22,
author = {Shapiro,Alen},
title = {{Chess (King-Rook vs. King-Pawn)}},
year = {1989},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5DK5C}
}Keywords
Creators
Alen Shapiro
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.