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 (6)
Regression (0)
Clustering (0)
Other (0)

Attribute Type

Categorical (1)
Numerical (4)
Mixed (0)

Data Type - Undo

Multivariate (33)
Univariate (3)
Sequential (6)
Time-Series (10)
Text (3)
Domain-Theory (2)
Other (0)

Area - Undo

Life Sciences (6)
Physical Sciences (1)
CS / Engineering (21)
Social Sciences (0)
Business (5)
Game (0)
Other (3)

# Attributes

Less than 10 (3)
10 to 100 (2)
Greater than 100 (0)

# Instances - Undo

Less than 100 (0)
100 to 1000 (2)
Greater than 1000 (6)

Format Type

Matrix (3)
Non-Matrix (3)

6 Data Sets

Table View  List View


1. Anticancer peptides: Peptides with experimental annotations on their anticancer action on breast and lung cancer cells.

2. Molecular Biology (Splice-junction Gene Sequences): Primate splice-junction gene sequences (DNA) with associated imperfect domain theory

3. 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.

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

5. 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.

6. 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.


Supported By:

 In Collaboration With:

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