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 (10)
Regression (6)
Clustering (2)
Other (4)

Attribute Type

Categorical (0)
Numerical (5)
Mixed (1)

Data Type

Multivariate (5)
Univariate (1)
Sequential (0)
Time-Series (0)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (8)
Physical Sciences (7)
CS / Engineering (15)
Social Sciences (6)
Business (3)
Game (1)
Other (7)

# Attributes

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

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (5)

Format Type

Matrix (5)
Non-Matrix (1)

6 Data Sets

Table View  List View


1. Bike Sharing Dataset: This dataset contains the hourly and daily count of rental bikes between years 2011 and 2012 in Capital bikeshare system with the corresponding weather and seasonal information.

2. BlogFeedback: Instances in this dataset contain features extracted from blog posts. The task associated with the data is to predict how many comments the post will receive.

3. Student Performance: Predict student performance in secondary education (high school).

4. Insurance Company Benchmark (COIL 2000): This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data

5. Communities and Crime: Communities within the United States. The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime data from the 1995 FBI UCR.

6. Communities and Crime Unnormalized: Communities in the US. Data combines socio-economic data from the '90 Census, law enforcement data from the 1990 Law Enforcement Management and Admin Stats survey, and crime data from the 1995 FBI UCR


Supported By:

 In Collaboration With:

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