Data
Ailerons

Ailerons

active ARFF Publicly available Visibility: public Uploaded 05-07-2022 by Leo Grin
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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: Author: Luis Torgo","Rui Camacho Source: Unknown - 2014-08-18 Please cite: This data set addresses a control problem, namely flying a F16 aircraft. The attributes describe the status of the aeroplane, while the goal is to predict the control action on the ailerons of the aircraft.

34 features

goal (target)numeric35 unique values
0 missing
climbRatenumeric1411 unique values
0 missing
Sgznumeric182 unique values
0 missing
pnumeric193 unique values
0 missing
qnumeric99 unique values
0 missing
curPitchnumeric233 unique values
0 missing
curRollnumeric61 unique values
0 missing
absRollnumeric21 unique values
0 missing
diffClbnumeric88 unique values
0 missing
diffRollRatenumeric117 unique values
0 missing
diffDiffClbnumeric141 unique values
0 missing
SeTime1numeric60 unique values
0 missing
SeTime2numeric61 unique values
0 missing
SeTime3numeric61 unique values
0 missing
SeTime4numeric60 unique values
0 missing
SeTime5numeric60 unique values
0 missing
SeTime6numeric61 unique values
0 missing
SeTime7numeric61 unique values
0 missing
SeTime8numeric60 unique values
0 missing
SeTime9numeric60 unique values
0 missing
SeTime10numeric59 unique values
0 missing
SeTime11numeric59 unique values
0 missing
SeTime12numeric60 unique values
0 missing
SeTime13numeric60 unique values
0 missing
SeTime14numeric58 unique values
0 missing
diffSeTime1numeric10 unique values
0 missing
diffSeTime3numeric10 unique values
0 missing
diffSeTime5numeric10 unique values
0 missing
diffSeTime7numeric10 unique values
0 missing
diffSeTime9numeric10 unique values
0 missing
diffSeTime11numeric12 unique values
0 missing
diffSeTime13numeric13 unique values
0 missing
alphanumeric17 unique values
0 missing
Senumeric58 unique values
0 missing
Show all 34 features

19 properties

NumberOfInstances
13750
Number of instances (rows) of the dataset.
NumberOfFeatures
34
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
34
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Regression on Ailerons
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: goal
Define a new task