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 (15)
Regression (12)
Clustering (8)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (12)
Mixed (0)

Data Type

Multivariate (10)
Univariate (0)
Sequential (3)
Time-Series (1)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (12)
Physical Sciences (7)
CS / Engineering (27)
Social Sciences (3)
Business (12)
Game (1)
Other (5)

# Attributes - Undo

Less than 10 (3)
10 to 100 (12)
Greater than 100 (0)

# Instances

Less than 100 (1)
100 to 1000 (5)
Greater than 1000 (6)

Format Type

Matrix (10)
Non-Matrix (2)

12 Data Sets

Table View  List View


1. Iranian Churn Dataset: This dataset is randomly collected from an Iranian telecom company’s database over a period of 12 months.

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

3. Cargo 2000 Freight Tracking and Tracing: Sanitized and anonymized Cargo 2000 (C2K) airfreight tracking and tracing events, covering five months of business execution (3,942 process instances, 7,932 transport legs, 56,082 activities).

4. Las Vegas Strip: This dataset includes quantitative and categorical features from online reviews from 21 hotels located in Las Vegas Strip, extracted from TripAdvisor (http://www.tripadvisor.com).

5. Daily Demand Forecasting Orders: The dataset was collected during 60 days, this is a real database of a brazilian logistics company.

6. Incident management process enriched event log: This event log was extracted from data gathered from the audit system of an instance of the ServiceNow platform used by an IT company and enriched with data loaded from a relational database.

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. clickstream data for online shopping: The dataset contains information on clickstream from online store offering clothing for pregnant women.

9. 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.

10. Online News Popularity: This dataset summarizes a heterogeneous set of features about articles published by Mashable in a period of two years. The goal is to predict the number of shares in social networks (popularity).

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. Wine Quality: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/).


Supported By:

 In Collaboration With:

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