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 - Undo

Classification (142)
Regression (55)
Clustering (42)
Other (6)

Attribute Type - Undo

Categorical (4)
Numerical (6)
Mixed (4)

Data Type

Multivariate (4)
Univariate (0)
Sequential (1)
Time-Series (0)
Text (0)
Domain-Theory (0)
Other (1)


Life Sciences (1)
Physical Sciences (2)
CS / Engineering (1)
Social Sciences (0)
Business (0)
Game (0)
Other (1)

# Attributes

Less than 10 (1)
10 to 100 (3)
Greater than 100 (2)

# Instances - Undo

Less than 100 (1)
100 to 1000 (3)
Greater than 1000 (6)

Format Type

Matrix (4)
Non-Matrix (2)

6 Data Sets

Table View  List View

1. SIFT10M: In SIFT10M, each data point is a SIFT feature which is extracted from Caltech-256 by the open source VLFeat library. The corresponding patches of the SIFT features are provided.

2. KASANDR: KASANDR is a novel, publicly available collection for recommendation systems that records the behavior of customers of the European leader in e-Commerce advertising, Kelkoo.

3. QtyT40I10D100K: Since there is no numerical sequential data stream available in standard data sets, this data set is generated from the original T40I10D100K data set

4. El Nino: The data set contains oceanographic and surface meteorological readings taken from a series of buoys positioned throughout the equatorial Pacific.

5. Corel Image Features: This dataset contains image features extracted from a Corel image collection. Four sets of features are available based on the color histogram, color histogram layout, color moments, and co-occurence

6. Cloud: Little Documentation

Supported By:

 In Collaboration With:

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