KRK
The task is to identify, whether the position of two kings and a rook on a chessboard is legal or illegal.
Original source: sourceforge.net
Versions
KRK (by Arnaud Barragao)
Dataset details
- Associated task:
- Classification
- Domain:
- Sport
- Data types:
- Size:
- 100 KB
- Count of tables:
- 1
- Count of rows:
- 1,000
- Count of columns:
- 8
- Missing values:
- No
- Compound keys:
- No
- Loops:
- No
- Type:
- Synthetic
- Instance count:
- 1,000
- Target table:
- krk
- Target column:
- class
- Target ID:
- id
- Target timestamp:
- ?
Algorithms
| Dataset version | Target | Algorithm | Author text | Measure | Value |
|---|---|---|---|---|---|
| KRK | Aleph | Fast Relational Learning using Bottom Clause Propositionalization with Artificial Neural Networks | Accuracy | 0.996 | |
| KRK | CILP++ | Fast Relational Learning using Bottom Clause Propositionalization with Artificial Neural Networks | Accuracy | 0.9842 | |
| KRK | RSD | Comparative Evaluation of Approaches to Propositionalization | Accuracy | 0.96 | |
| KRK | RSD | Fast Relational Learning using Bottom Clause Propositionalization with Artificial Neural Networks | Accuracy | 0.961 | |
| KRK | SINUS | Comparative Evaluation of Approaches to Propositionalization | Accuracy | 0.95 |
How to download the dataset
The datasets are publicly available directly from MariaDB database.
- Open your favourite MariaDB client (MySQL Workbench works, but see FAQ)
- Use following credentials:
- hostname: relational.fel.cvut.cz
- port: 3306
- username: guest
- password: ctu-relational
- Export "KRK" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).