Data
elevators

elevators

active ARFF Publicly available Visibility: public Uploaded 16-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description: This data set is also obtained from the task of controlling a F16 aircraft, although the target variable and attributes are different from the ailerons domain. In this case the goal variable is related to an action taken on the elevators of the aircraft.

17 features

Goal (target)numeric61 unique values
0 missing
climbRatenumeric1500 unique values
0 missing
Sgznumeric180 unique values
0 missing
pnumeric202 unique values
0 missing
qnumeric100 unique values
0 missing
curRollnumeric60 unique values
0 missing
absRollnumeric21 unique values
0 missing
diffClbnumeric91 unique values
0 missing
diffRollRatenumeric113 unique values
0 missing
diffDiffClbnumeric134 unique values
0 missing
SaTime1numeric35 unique values
0 missing
SaTime2numeric35 unique values
0 missing
SaTime3numeric35 unique values
0 missing
SaTime4numeric34 unique values
0 missing
diffSaTime1numeric15 unique values
0 missing
diffSaTime3numeric12 unique values
0 missing
Sanumeric34 unique values
0 missing

19 properties

16599
Number of instances (rows) of the dataset.
17
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.
17
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.
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.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: Goal
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