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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.
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
Percentage of missing values.
-916.07
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0.01
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

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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