Excerpt
Test
Task | Data | Size | Domain | |
---|---|---|---|---|
Financial: Loan default prediction | Classification | Relational | 8 Tables, 60 MB | Financial |
Occupancy detection | Classification | Multivariate time series | 1 Table, 32k rows | Energy |
Expenditure categorization | Classification | Relational | 3 Tables, 150 MB | E-commerce |
Disease lethality prediction | Classification | Relational | 3 Tables, 22 MB | Health |
IMDb: Predicting actors' gender | Classification | Relational with text | 7 Tables, 477.1 MB | Entertainment |
MovieLens: Predicting users' gender | Classification | Relational | 7 Tables, 20 MB | Entertainment |
CORA: Categorizing academic studies | Classification | Relational | 3 Tables, 4.6 MB | Academia |
Order cancellation | Classification | Relational | 1 Table, 398k rows | E-commerce |
Traffic volume prediction (I94) | Regression | Multivariate time series | 1 Table, 24k rows | Transportation |
Air pollution prediction | Regression | Multivariate time series | 1 Table, 41k rows | Environment |
Traffic volume prediction (LA) | Regression | Multivariate time series | 1 Table, 47k rows | Transportation |
Predicting a force vector from sensor data | Regression | Multivariate time series | 1 Table, 15k rows | Robotics |
Small | Large | |
---|---|---|
Salami : | 8.99 | 10.99 |
Hawaii : | 9.49 | 11.49 |
Marge. : | 7.99 | 9.99 |
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| aaa | this is really long so I just | ! | continue down here | | new | row here |
| aaa | - item one |
| - item two |
| new | row here |
| 15 Main St. | Chicago, IL