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puma32H

puma32H

active ARFF Publicly available Visibility: public Uploaded 22-08-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Please cite: This is one of a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm. There are eight datastets in this family . In this repository we only have two of them. They are all variations on the same model; a realistic simulation of the dynamics of a Puma 560 robot arm. The task in these datasets is to predict the angular accelaration of one of the robot arm's links. The inputs include angular positions, velocities and torques of the robot arm. The family has been specifically generated for the delve environment and so the individual datasets span the corners of a cube whose dimensions represent: Number of inputs 32 degree of non-linearity (fairly linear or non-linear) amount of noise in the output (moderate or high). Source: collection of regression datasets by Luis Torgo (torgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Original Source: DELVE repository of data. Characteristics: 8192 (4500+3692) cases, 33 continuous variables.

33 features

thetadd6 (target)numeric7861 unique values
0 missing
theta1numeric8188 unique values
0 missing
theta2numeric8186 unique values
0 missing
theta3numeric8186 unique values
0 missing
theta4numeric8185 unique values
0 missing
theta5numeric8178 unique values
0 missing
theta6numeric8180 unique values
0 missing
thetad1numeric8184 unique values
0 missing
thetad2numeric8187 unique values
0 missing
thetad3numeric8186 unique values
0 missing
thetad4numeric8183 unique values
0 missing
thetad5numeric8183 unique values
0 missing
thetad6numeric8188 unique values
0 missing
tau1numeric8192 unique values
0 missing
tau2numeric8192 unique values
0 missing
tau3numeric8192 unique values
0 missing
tau4numeric8192 unique values
0 missing
tau5numeric8192 unique values
0 missing
dm1numeric8181 unique values
0 missing
dm2numeric8180 unique values
0 missing
dm3numeric8178 unique values
0 missing
dm4numeric8187 unique values
0 missing
dm5numeric8173 unique values
0 missing
da1numeric8176 unique values
0 missing
da2numeric8173 unique values
0 missing
da3numeric8179 unique values
0 missing
da4numeric8179 unique values
0 missing
da5numeric8181 unique values
0 missing
db1numeric8180 unique values
0 missing
db2numeric8175 unique values
0 missing
db3numeric8176 unique values
0 missing
db4numeric8176 unique values
0 missing
db5numeric8173 unique values
0 missing

19 properties

8192
Number of instances (rows) of the dataset.
33
Number of attributes (columns) of the dataset.
7861
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
33
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
0.05
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
4
Number of instances belonging to the most frequent class.
0.01
Percentage of instances belonging to the least frequent class.
1
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

4 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: thetadd6
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: thetadd6
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