Data
balloon

balloon

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: The data consist of 2001 observations taken from a balloon about 30 kilometres above the surface of the earth. In the section of the flight shown here the balloon increases in height. As radiation increases with height there is a non-decreasing trend in the data. The outliers are caused by the fact that the balloon slowly rotates, causing the ropes from which the measuring instrument is suspended to cut off the direct radiation from the sun. The first column contains the raw data, the second column the residuals after the removal of a non-decreasing trend. Reference: Davies, L. and Gather, U. (1993), "The Identification of Multiple Outliers" (discussion paper), to appear in JASA. Mailing address: Laurie Davies Universitaet-Gesamthochschule Essen Fachbereich 6 Mathematik Universitaetsstrasse 3 D-4300 Essen 1 Germany Information about the dataset CLASSTYPE: numeric CLASSINDEX: last

2 features

residual (target)numeric365 unique values
0 missing
id (row identifier)numeric2001 unique values
0 missing
rawnumeric56 unique values
0 missing

19 properties

2001
Number of instances (rows) of the dataset.
2
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.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.93
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0
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.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

13 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: residual
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: residual
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
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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