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 (4)
Regression (5)
Clustering (1)
Other (0)

Attribute Type - Undo

Categorical (3)
Numerical (8)
Mixed (5)

Data Type - Undo

Multivariate (8)
Univariate (1)
Sequential (1)
Time-Series (2)
Text (0)
Domain-Theory (0)
Other (0)

Area

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

# Attributes - Undo

Less than 10 (8)
10 to 100 (36)
Greater than 100 (22)

# Instances - Undo

Less than 100 (2)
100 to 1000 (15)
Greater than 1000 (8)

Format Type - Undo

Matrix (8)
Non-Matrix (1)

8 Data Sets

Table View  List View


1. Physicochemical Properties of Protein Tertiary Structure: This is a data set of Physicochemical Properties of Protein Tertiary Structure. The data set is taken from CASP 5-9. There are 45730 decoys and size varying from 0 to 21 armstrong.

2. banknote authentication: Data were extracted from images that were taken for the evaluation of an authentication procedure for banknotes.

3. 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

4. Airfoil Self-Noise: NASA data set, obtained from a series of aerodynamic and acoustic tests of two and three-dimensional airfoil blade sections conducted in an anechoic wind tunnel.

5. Combined Cycle Power Plant: The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.

6. Yeast: Predicting the Cellular Localization Sites of Proteins

7. Statlog (Shuttle): The shuttle dataset contains 9 attributes all of which are numerical. Approximately 80% of the data belongs to class 1

8. Concrete Compressive Strength: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients.


Supported By:

 In Collaboration With:

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