Data
kin8nm

kin8nm

active ARFF Publicly available Visibility: public Uploaded 22-12-2022 by Sebastian Fischer
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Data Description A realistic simulation of the forward dynamics of an 8 link all-revolute robot arm. The task in all datasets is to predict the distance of the end-effector from a target. The input are the angular positions of the joints. The task is medium noisy and nonlinear. Each instance represents a configuration of angular positions of the joints and the resulting distance of the end-effector from a target. Attribute Description 1. *theta[1-8]* - angular positions of the joints 2. *y* - resulting distance of end-effector from target, target feature

9 features

y (target)numeric8191 unique values
0 missing
theta1numeric8192 unique values
0 missing
theta2numeric8192 unique values
0 missing
theta3numeric8192 unique values
0 missing
theta4numeric8190 unique values
0 missing
theta5numeric8192 unique values
0 missing
theta6numeric8191 unique values
0 missing
theta7numeric8192 unique values
0 missing
theta8numeric8192 unique values
0 missing

19 properties

8192
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
0
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.
9
Number of numeric attributes.
0
Number of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.7
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.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: y
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