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Summary

Artificial data generated from the Friedman function, part of a collection of 80 data sets. This particular set has 10 features, 1 output (11th feature), colinearity degree 1, and 250 instances.

License
unknown (from Weka repository)
Dependencies
Tags
arff colinearity Friedman-function slurped Weka
Attribute Types
Floating Point
Download
# Instances: 250 / # Attributes: 11
HDF5 (32.0 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
fri_c1_250_10
Version mldata
0
Comment
Names
oz1,oz2,oz3,oz4,oz5,oz6,oz7,oz8,oz9,oz10,
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)
    oz1 oz2 oz3 oz4 oz5 oz6 oz7 oz8 oz9 oz10 ...
    1.26... 1.36... 0.25... 1.19... -0.42... 1.04... 1.41... 1.41... 0.07... 0.72... ...
    0.46... 0.19... 0.30... -0.66... -1.30... -0.13... -1.53... 1.17... 0.80... -0.28... ...
    0.38... 0.26... 0.13... 1.00... -0.39... -1.42... 1.05... 0.52... 0.18... 0.51... ...
    0.53... 0.57... 0.60... -1.02... 0.46... -0.10... -1.43... -0.63... -1.20... 0.37... ...
    -1.51... -1.35... -0.64... 1.10... 0.07... -0.78... 1.74... -1.24... 0.79... 0.19... ...
    0.34... 0.14... 0.01... -1.12... 0.43... -0.47... 1.62... 1.10... 0.80... -1.25... ...
    0.81... 1.25... 0.00... -1.63... -0.70... -1.38... -0.27... -0.07... 0.88... 0.57... ...
    1.20... 0.60... 1.71... -1.40... -1.51... -0.84... -0.38... 0.25... -0.93... -1.57... ...
    -0.20... -0.42... -0.01... 0.43... 0.63... -0.29... 0.73... -1.40... -1.23... -0.89... ...
    -1.39... -1.36... -0.40... -0.25... 1.15... 1.15... 1.73... 1.41... 1.06... 1.20... ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

A zip file containing 80 artificial datasets generated from the Friedman function donated by Dr. M. Fatih Amasyali (Yildiz Technical Unversity) (Friedman-datasets.zip, 5,802,204 Bytes)

Information adapted from original readme:

The Friedman_datasets.zip folder contains 80 artificially generated Friedman (*) datasets. The dataset names are coded as "fri_colinearintydegree_samplenumber_featurenumber".

Friedman is the one of the most used function for data generation (Friedman, 1999). Friedman function includes both linear and non-linear relations between input and output. And a normalized noise (e) is added to the output. The Friedman function is given at below.

y = 10 * sin(pi * x1 * x2) + 20 * (x3 - 0.5)^2 = 10 * X4 + 5 * X5 + e

In original Friedman function, there are 5 features for input. In our experiments, to measure the effects of non-related features, the additional features are added into the datasets. The added features are independent from output.

However, to measure the algorithm's robustness to the colinearity, the datasets are generated with 5 different colinearity degrees. The colinearity degrees is the number of features depend on other features.

The generated Friedman dataset's parameters and values are given below: The number of features: 5 10 25 50 100 (only the first 5 one is related to the output. The rest are completely random) The number of samples: 100 250 500 1000 Colinearity degrees: 0 1 2 3 4 For the datasets with colinearity degree 4, the numbers of features are generated as 10, 25, 50 and 100. The other datasets have 5, 10, 25 and 50 features.

As a result, 80 artificial datasets are generated by (4 different feature number * 4 different sample number * 5 different colinearity degree)

The last attribute in each file is the target.

*J.H. Friedman (1999). Stochastic Gradient Boosting

URLs
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Publications
    Data Source
    http://www.ce.yildiz.edu.tr/en/myindex.php?id=14 http://www.ce.yildiz.edu.tr/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 10:02
    revision 2
    by jaakkopeltonen on 2010-11-22 15:07
    revision 3
    by jaakkopeltonen on 2010-11-22 15:10
    revision 4
    by jaakkopeltonen on 2010-11-22 15:12
    revision 5
    by jaakkopeltonen on 2010-11-22 15:15
    revision 6
    by jaakkopeltonen on 2010-11-22 15:15
    revision 7
    by jaakkopeltonen on 2010-11-22 15:16
    revision 8
    by jaakkopeltonen on 2010-11-22 15:18
    revision 9
    by jaakkopeltonen on 2010-11-22 16:41
    revision 10
    by jaakkopeltonen on 2010-12-12 18:09
    revision 11
    by jaakkopeltonen on 2010-11-22 18:08
    revision 12
    by jaakkopeltonen on 2010-11-26 11:48
    revision 13
    by jaakkopeltonen on 2010-11-22 17:09
    revision 14
    by jaakkopeltonen on 2011-09-14 15:17
    phoyer (2010-11-06 12:25):

    Testing adding comments.

    patrik (2010-11-06 12:28):

    Added another comment.

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