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ELE-1

ELE-1

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-04-2020 by Rafael Gomes Mantovani
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Electrical Length data set This problem with only two input variables involves a small search space (small complexity). However, it is still an interesting problem since the system is strongly nonlinear and the available data is limited to a low number of examples presenting noise. All of these drawbacks make the modeling surface complicated indeed and, in this case, produce a strong overfitting of the obtained models. ### Attributes 1. Inhabitants - integer [1, 320] 2. Distance - real [60.0, 1673.329956] 3. Length - real [80.0, 7675.0]

3 features

Length (target)numeric453 unique values
0 missing
Inhabitantsnumeric99 unique values
0 missing
Distancenumeric295 unique values
0 missing

19 properties

495
Number of instances (rows) of the dataset.
3
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.
3
Number of numeric attributes.
0
Number of nominal attributes.
0.01
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.
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.
-916.07
Average class difference between consecutive instances.
0
Percentage of missing values.

8 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Length
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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