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 (1)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (7)
Mixed (3)

Data Type

Multivariate (7)
Univariate (0)
Sequential (0)
Time-Series (0)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (6)
Physical Sciences (7)
CS / Engineering (4)
Social Sciences (0)
Business (0)
Game (0)
Other (3)

# Attributes - Undo

Less than 10 (1)
10 to 100 (7)
Greater than 100 (1)

# Instances - Undo

Less than 100 (0)
100 to 1000 (7)
Greater than 1000 (10)

Format Type - Undo

Matrix (7)
Non-Matrix (1)

7 Data Sets

Table View  List View


1. Ionosphere: Classification of radar returns from the ionosphere

2. Water Treatment Plant: Multiple classes predict plant state

3. Wine: Using chemical analysis determine the origin of wines

4. Glass Identification: From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc)

5. Connectionist Bench (Sonar, Mines vs. Rocks): The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.

6. Forest Fires: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: http://www.dsi.uminho.pt/~pcortez/forestfires).

7. Climate Model Simulation Crashes: Given Latin hypercube samples of 18 climate model input parameter values, predict climate model simulation crashes and determine the parameter value combinations that cause the failures.


Supported By:

 In Collaboration With:

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