UW-CSE
This dataset lists facts about the Department of Computer Science and Engineering at the University of Washington (UW-CSE), such as entities (e.g., Student, Professor) and their relationships (i.e. AdvisedBy, Publication).
Versions
UW_std (by Oliver Schulte)
Dataset details
- Associated task:
- Classification
- Domain:
- Education
- Data types:
- Size:
- 200 KB
- Count of tables:
- 4
- Count of rows:
- 712
- Count of columns:
- 12
- Missing values:
- No
- Compound keys:
- No
- Loops:
- Yes
- Type:
- Real
- Instance count:
- 278
- Target table:
- person
- Target column:
- inPhase
- Target ID:
- p_id
- Target timestamp:
- ?
Algorithms
| Dataset version | Target | Algorithm | Author text | Measure | Value |
|---|---|---|---|---|---|
| UW_std | p_id_dummy | Aleph | Fast Relational Learning using Bottom Clause Propositionalization with Artificial Neural Networks | Accuracy | 0.8491 |
| UW_std | p_id_dummy | LBP | A Link-Based Method for Propositionalization | Accuracy | 0.839 |
| UW_std | p_id_dummy | Predictor Factory | Predictor Factory | Accuracy | 0.8776 |
| UW_std | p_id_dummy | RelF | A Link-Based Method for Propositionalization | Accuracy | 0.813 |
| UW_std | p_id_dummy | RSD | A Link-Based Method for Propositionalization | Accuracy | 0.751 |
| UW_std | p_id_dummy | RSD | ClowdFlows | Accuracy | 0.8921 |
| UW_std | p_id_dummy | Wordification | ClowdFlows | Accuracy | 0.8921 |
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 "UW_std" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).