View uci-20070111 kin8nm (public)

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Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Floating Point
Download
# Instances: 8192 / # Attributes: 9
HDF5 (587.0 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
kin8nm
Version mldata
0
Comment

This is data set is concerned with the forward kinematics of an 8 link robot arm. Among the existing variants of this data set we have used the variant 8nm, which is known to be highly non-linear and medium noisy.

Original source: DELVE repository of data. Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Characteristics: 8192 cases, 9 attributes (0 nominal, 9 continuous).

Names
theta1,theta2,theta3,theta4,theta5,theta6,theta7,theta8,y,
Types
  1. numeric
  2. numeric
  3. numeric
  4. numeric
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
Data (first 10 data points)
    theta1 theta2 theta3 theta4 theta5 theta6 theta7 theta8 y
    -0.01... 0.36... 0.46... 1.30... 0.98... -0.02... 0.66... 0.06... 0.53...
    0.36... -0.30... 0.62... -1.44... -0.74... -1.19... -1.03... -0.71... 0.30...
    1.56... -1.29... 0.07... 1.43... 1.14... -1.29... 1.56... -0.93... 0.51...
    0.19... 0.90... -1.35... -0.08... -0.97... 0.82... -0.85... 0.93... 0.49...
    0.65... 0.12... -0.00... 0.64... 0.62... -0.64... 1.31... -0.89... 0.47...
    1.51... -0.21... 0.48... 0.56... 1.40... 0.38... 1.49... -1.32... 0.28...
    -0.42... -0.15... 1.49... -1.16... 1.36... 0.45... 0.78... -0.40... 0.52...
    0.04... 1.29... 0.04... 0.12... 0.78... 0.86... -1.34... 0.19... 1.11...
    0.22... 0.56... 0.67... 1.45... -0.77... 0.26... -1.30... -0.13... 0.57...
    0.25... -0.48... 0.53... -1.07... -0.52... 0.15... 0.55... 0.11... 0.79...
    ... ... ... ... ... ... ... ... ...
Description

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

URLs
(No information yet)
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 2011-09-14 15:35

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    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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