The University of California at Irvine's Categorisation Benchmark
  
   - Everyone uses the UCI benchmark, so you can compare your
       algorithm to other algorithms.
 
   - It's  here.
 
   - We're going to look at a toy data set, baloons.
 
   - Instances are typically represented by a vector of feature values,
       and a category.
 
   - Here there are four (binary) features, and a binary category.
 
   - What other types of features could you have?
 
   
| Colour | Size | Act | Age | Category/Inflated | 
| YELLOW | SMALL | STRETCH | ADULT | T | 
| YELLOW | SMALL | STRETCH | CHILD | F | 
| YELLOW | SMALL | DIP | ADULT | F | 
| YELLOW | SMALL | DIP | CHILD | F | 
| YELLOW | LARGE | STRETCH | ADULT | T | 
| YELLOW | LARGE | STRETCH | CHILD | F | 
| YELLOW | LARGE | DIP | ADULT | F | 
| YELLOW | LARGE | DIP | CHILD | F | 
| PURPLE | SMALL | STRETCH | ADULT | T | 
| PURPLE | SMALL | STRETCH | CHILD | F | 
| PURPLE | SMALL | DIP | ADULT | F | 
| PURPLE | SMALL | DIP | CHILD | F | 
| PURPLE | LARGE | STRETCH | ADULT | T | 
| PURPLE | LARGE | STRETCH | CHILD | F | 
| PURPLE | LARGE | DIP | ADULT | F | 
| PURPLE | LARGE | DIP | CHILD | F |