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 (3)
Regression (0)
Clustering (0)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (3)
Mixed (1)

Data Type - Undo

Multivariate (3)
Univariate (0)
Sequential (0)
Time-Series (0)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (3)
Physical Sciences (2)
CS / Engineering (3)
Social Sciences (0)
Business (0)
Game (0)
Other (0)

# Attributes - Undo

Less than 10 (7)
10 to 100 (10)
Greater than 100 (3)

# Instances - Undo

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

Format Type

Matrix (3)
Non-Matrix (0)

3 Data Sets

Table View  List View


1. LSVT Voice Rehabilitation: 126 samples from 14 participants, 309 features. Aim: assess whether voice rehabilitation treatment lead to phonations considered 'acceptable' or 'unacceptable' (binary class classification problem).

2. MicroMass: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data.

3. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge.


Supported By:

 In Collaboration With:

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