Trains
Alternative names: East-West trains, East-West challenge
East-West challenge (1980) database describes east-bound and west-bound trains.
Original source: kt.ijs.si
Versions
Trains (by Janez Kranjc)
Dataset details
- Associated task:
- Classification
- Domain:
- Education
- Data types:
- Size:
- 100 KB
- Count of tables:
- 2
- Count of rows:
- 83
- Count of columns:
- 12
- Missing values:
- No
- Compound keys:
- No
- Loops:
- No
- Type:
- Synthetic
- Instance count:
- 20
- Target table:
- trains
- Target column:
- direction
- Target ID:
- id
- Target timestamp:
- ?
Algorithms
| Dataset version | Target | Algorithm | Author text | Measure | Value |
|---|---|---|---|---|---|
| trains | direction | Aleph | ClowdFlows | Accuracy | 0.55 |
| trains | direction | Aleph | Wordification: Propositionalization by unfolding relational data into bags of words | Accuracy | 0.7 |
| trains | direction | CrossMine | ADMA 2010 | Accuracy | 0.8 |
| trains | direction | MulSVM | ADMA 2010 | Accuracy | 0.8 |
| trains | direction | Predictor Factory | Predictor Factory | Accuracy | 0.85 |
| trains | direction | RELAGGS | ADMA 2010 | Accuracy | 0.8 |
| trains | direction | RELAGGS | Comparative Evaluation of Approaches to Propositionalization | Accuracy | 0.75 |
| trains | direction | RELAGGS | A Toolbox for Learning from Relational Data with Propositional and Multi-Instance Learners | Accuracy | 0.8 |
| trains | direction | RelF | ClowdFlows | Accuracy | 0.75 |
| trains | direction | RelF | Wordification: Propositionalization by unfolding relational data into bags of words | Accuracy | 0.75 |
| Show all algorithms | |||||
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 "trains" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).