Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Browse Through:

Default Task - Undo

Classification (16)
Regression (7)
Clustering (5)
Other (1)

Attribute Type - Undo

Categorical (0)
Numerical (5)
Mixed (0)

Data Type - Undo

Multivariate (5)
Univariate (0)
Sequential (0)
Time-Series (0)
Text (1)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (5)
Physical Sciences (2)
CS / Engineering (8)
Social Sciences (0)
Business (6)
Game (0)
Other (2)

# Attributes - Undo

Less than 10 (5)
10 to 100 (10)
Greater than 100 (3)

# Instances

Less than 100 (0)
100 to 1000 (3)
Greater than 1000 (2)

Format Type

Matrix (5)
Non-Matrix (0)

5 Data Sets

Table View  List View


1. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC).

2. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC).

3. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes.

4. Tamilnadu Electricity Board Hourly Readings: This data can be effectively produced the result to fewer parameter of the Load profile can be reduced in the Database

5. Drug Review Dataset (Drugs.com): The dataset provides patient reviews on specific drugs along with related conditions and a 10 star patient rating reflecting overall patient satisfaction.


Supported By:

 In Collaboration With:

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