Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task

Classification (3)
Regression (0)
Clustering (0)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (3)
Mixed (1)

Data Type - Undo

Multivariate (3)
Univariate (0)
Sequential (0)
Time-Series (1)
Text (1)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (10)
Physical Sciences (3)
CS / Engineering (37)
Social Sciences (4)
Business (1)
Game (0)
Other (3)

# Attributes - Undo

Less than 10 (3)
10 to 100 (18)
Greater than 100 (3)

# Instances

Less than 100 (0)
100 to 1000 (0)
Greater than 1000 (3)

Format Type - Undo

Matrix (3)
Non-Matrix (0)

3 Data Sets

Table View  List View


1. Crop mapping using fused optical-radar data set: Combining optical and PolSAR remote sensing images offers a complementary data set with a significant number of temporal, spectral, textural, and polarimetric features for cropland classification.

2. Dexter: DEXTER is a text classification problem in a bag-of-word representation. This is a two-class classification problem with sparse continuous input variables. This dataset is one of five datasets of the NIPS 2003 feature selection challenge.

3. Madelon: MADELON is an artificial dataset, which was part of the NIPS 2003 feature selection challenge. This is a two-class classification problem with continuous input variables. The difficulty is that the problem is multivariate and highly non-linear.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML