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 - Undo

Classification (6)
Regression (3)
Clustering (1)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (6)
Mixed (3)

Data Type

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

Area - Undo

Life Sciences (20)
Physical Sciences (17)
CS / Engineering (24)
Social Sciences (2)
Business (6)
Game (0)
Other (15)

# Attributes - Undo

Less than 10 (5)
10 to 100 (6)
Greater than 100 (1)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (5)

Format Type

Matrix (6)
Non-Matrix (0)

6 Data Sets

Table View  List View

1. Wine Quality: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009],

2. Polish companies bankruptcy data: The dataset is about bankruptcy prediction of Polish companies.The bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013.

3. Online News Popularity: This dataset summarizes a heterogeneous set of features about articles published by Mashable in a period of two years. The goal is to predict the number of shares in social networks (popularity).

4. Dow Jones Index: This dataset contains weekly data for the Dow Jones Industrial Index. It has been used in computational investing research.

5. default of credit card clients: This research aimed at the case of customers’ default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods.

6. Bank Marketing: The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y).

Supported By:

 In Collaboration With:

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