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 (5)
Regression (1)
Clustering (0)
Other (0)

Attribute Type

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

Data Type

Multivariate (6)
Univariate (0)
Sequential (0)
Time-Series (1)
Text (1)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (8)
Physical Sciences (6)
CS / Engineering (43)
Social Sciences (4)
Business (3)
Game (1)
Other (5)

# Attributes - Undo

Less than 10 (6)
10 to 100 (21)
Greater than 100 (6)

# Instances - Undo

Less than 100 (0)
100 to 1000 (3)
Greater than 1000 (6)

Format Type

Matrix (4)
Non-Matrix (2)

6 Data Sets

Table View  List View


1. Amazon Commerce reviews set: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition.

2. Greenhouse Gas Observing Network: Design an observing network to monitor emissions of a greenhouse gas (GHG) in California given time series of synthetic observations and tracers from weather model simulations.

3. Musk (Version 2): The goal is to learn to predict whether new molecules will be musks or non-musks

4. QSAR androgen receptor: 1024 binary attributes (molecular fingerprints) used to classify 1687 chemicals into 2 classes (binder to androgen receptor/positive, non-binder to androgen receptor /negative)

5. QSAR oral toxicity: Data set containing values for 1024 binary attributes (molecular fingerprints) used to classify 8992 chemicals into 2 classes (very toxic/positive, not very toxic/negative)

6. Weight Lifting Exercises monitored with Inertial Measurement Units: Six young health subjects were asked to perform 5 variations of the biceps curl weight lifting exercise. One of the variations is the one predicted by the health professional.


Supported By:

 In Collaboration With:

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