Browse Through:

Default Task - Undo

Classification (4)
Regression (0)
Clustering (0)
Other (0)

Attribute Type - Undo

Categorical (3)
Numerical (4)
Mixed (0)

Data Type - Undo

Multivariate (71)
Univariate (9)
Sequential (4)
Time-Series (12)
Text (3)
Domain-Theory (0)
Other (1)

Area - Undo

Life Sciences (4)
Physical Sciences (1)
CS / Engineering (22)
Social Sciences (0)
Business (5)
Game (0)
Other (6)

# Attributes

Less than 10 (2)
10 to 100 (1)
Greater than 100 (0)

# Instances

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

Format Type

Matrix (1)
Non-Matrix (3)

4 Data Sets

Table View  List View

1. Activity recognition with healthy older people using a batteryless wearable sensor: Sequential motion data from 14 healthy older people aged 66 to 86 years old using a batteryless, wearable sensor on top of their clothing for the recognition of activities in clinical environments.

2. chipseq: ChIP-seq experiments characterize protein modifications or binding at specific genomic locations in specific samples. The machine learning problem in these data is structured binary classification.

3. EEG Eye State: The data set consists of 14 EEG values and a value indicating the eye state.

4. 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.