Research Article
A Learning Framework of Nonparallel Hyperplanes Classifier
Table 2
The detailed characteristics of the datasets.
| Data | #Ins | #Fea | #class | Data | #Ins | #Fea | #class |
| Hepatitis | 155 | 19 | 2 | Votes | 435 | 16 | 2 | WBPC | 198 | 34 | 2 | Sonar | 208 | 60 | 2 | Heart-statlog | 270 | 13 | 2 | BUPA | 345 | 6 | 2 | Pima-Indian | 768 | 8 | 2 | CMC | 1473 | 9 | 2 | Australian | 690 | 14 | 2 | Iris | 150 | 3 | 4 | Wine | 178 | 3 | 13 |
Ecoli | 336 | 8 | 8 | Vowel | 528 | 11 | 10 | Glass | 214 | 6 | 13 | Vehicle | 846 | 4 | 18 | Car | 1728 | 6 | 4 | Segment | 2310 | 7 | 19 | Satimage | 4435 | 6 | 36 |
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#Ins is the number of the training points; #attributes is the number of attributes; #class is the number of class.
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