Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Floating Point

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# Instances: 40768 / # Attributes: 11
HDF5 (3.4 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

fried

Version mldata

0

Comment

This is an artificial data set used in Friedman (1991) and also described in Breiman (1996,p.139). The cases are generated using the following method: Generate the values of 10 attributes, X1, ..., X10 independently each of which uniformly distributed over [0,1]. Obtain the value of the target variable Y using the equation:

Y = 10 * sin(pi * X1 * X2) + 20 * (X3 - 0.5)^2 + 10 * X4 + 5 * X5 + sigma(0,1)

Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Original source: Breiman (1996, p.139). Characteristics: 40768 cases, 11 continuous attributes

References

BREIMAN, L. (1996): Bagging Predictors. Machine Learning, 24(3), 123--140. Kluwer Academic Publishers. FRIEDMAN, J. (1991): Multivariate Adaptative Regression Splines. Annals of Statistics, 19:1, 1--141.

Names

X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,

Types

1. numeric
2. numeric
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

X1	X2	X3	X4	X5	X6	X7	X8	X9	X10	...
0.487	0.072	0.004	0.833	0.765	0.6	0.132	0.886	0.073	0.342	...
0.223	0.401	0.659	0.528	0.843	0.713	0.58	0.473	0.572	0.528	...
0.903	0.913	0.94	0.979	0.561	0.744	0.627	0.818	0.309	0.51	...
0.791	0.857	0.359	0.844	0.155	0.948	0.114	0.292	0.412	0.991	...
0.326	0.593	0.085	0.927	0.926	0.633	0.431	0.326	0.031	0.73	...
0.562	0.89	0.006	0.691	0.72	0.208	0.279	0.283	0.116	0.882	...
0.481	0.613	0.499	0.572	0.914	0.783	0.204	0.428	0.828	0.487	...
0.625	0.197	0.725	0.628	0.541	0.481	0.46	0.021	0.765	0.392	...
0.21	0.519	0.029	0.61	0.724	0.515	0.371	0.731	0.575	0.73	...
0.084	0.496	0.486	0.813	0.406	0.491	0.418	0.344	0.978	0.409	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:59

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