Table 3 Descriptions of real-life datasets. N is the number of features after preprocessing. K is the number of classes in the dataset.
From: Characteristics of predictor sets found using differential prioritization
Dataset | Type | N | K | Training set size:Test set size |
|---|---|---|---|---|
BRN | cDNA | 7452 | 14 | 174:83 |
GCM | Affymetrix | 10820 | 14 | 144:54 |
NCI60 | cDNA | 7386 | 8 | 40:20 |
PDL | Affymetrix | 12011 | 6 | 166:82 |
Lung | Affymetrix | 1741 | 5 | 135:68 |
SRBC | cDNA | 2308 | 4 | 55:28 |
MLL | Affymetrix | 8681 | 3 | 48:24 |
AML/ALL | Affymetrix | 3571 | 3 | 48:24 |