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 (4)
Regression (2)
Clustering (0)
Other (0)

Attribute Type

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

Data Type - Undo

Multivariate (8)
Univariate (1)
Sequential (3)
Time-Series (4)
Text (0)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (4)
Physical Sciences (2)
CS / Engineering (18)
Social Sciences (0)
Business (1)
Game (0)
Other (3)

# Attributes

Less than 10 (3)
10 to 100 (0)
Greater than 100 (1)

# Instances - Undo

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (4)

Format Type - Undo

Matrix (6)
Non-Matrix (4)

4 Data Sets

Table View  List View


1. Simulated Falls and Daily Living Activities Data Set: 20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.

2. Localization Data for Person Activity: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times.

3. Bar Crawl: Detecting Heavy Drinking: Accelerometer and transdermal alcohol content data from a college bar crawl. Used to predict heavy drinking episodes via mobile data.

4. Bar Crawl: Detecting Heavy Drinking: Accelerometer and transdermal alcohol content data from a college bar crawl. Used to predict heavy drinking episodes via mobile data.


Supported By:

 In Collaboration With:

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