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 (10)
Regression (6)
Clustering (4)
Other (0)

Attribute Type

Categorical (0)
Numerical (9)
Mixed (4)

Data Type - Undo

Multivariate (13)
Univariate (1)
Sequential (0)
Time-Series (3)
Text (2)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (64)
Physical Sciences (17)
CS / Engineering (38)
Social Sciences (8)
Business (13)
Game (1)
Other (18)

# Attributes

Less than 10 (4)
10 to 100 (8)
Greater than 100 (0)

# Instances - Undo

Less than 100 (1)
100 to 1000 (13)
Greater than 1000 (17)

Format Type

Matrix (12)
Non-Matrix (1)

13 Data Sets

Table View  List View


1. Statlog (German Credit Data): This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix

2. Credit Approval: This data concerns credit card applications; good mix of attributes

3. Statlog (Australian Credit Approval): This file concerns credit card applications. This database exists elsewhere in the repository (Credit Screening Database) in a slightly different form

4. Japanese Credit Screening: Includes domain theory (generated by talking to Japanese domain experts); data in Lisp

5. Wholesale customers: The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories

6. Facebook metrics: Facebook performance metrics of a renowned cosmetic's brand Facebook page.

7. South German Credit: 700 good and 300 bad credits with 20 predictor variables. Data from 1973 to 1975. Stratified sample from actual credits with bad credits heavily oversampled. A cost matrix can be used.

8. South German Credit (UPDATE): 700 good and 300 bad credits with 20 predictor variables. Data from 1973 to 1975. Stratified sample from actual credits with bad credits heavily oversampled. A cost matrix can be used.

9. Absenteeism at work: The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil.

10. Real estate valuation data set: The “real estate valuation” is a regression problem. The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan.

11. Stock portfolio performance: The data set of performances of weighted scoring stock portfolios are obtained with mixture design from the US stock market historical database.

12. Blood Transfusion Service Center: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.

13. ISTANBUL STOCK EXCHANGE: Data sets includes returns of Istanbul Stock Exchange with seven other international index; SP, DAX, FTSE, NIKKEI, BOVESPA, MSCE_EU, MSCI_EM from Jun 5, 2009 to Feb 22, 2011.


Supported By:

 In Collaboration With:

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