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ldpa

ldpa

active ARFF Publicly available Visibility: public Uploaded 22-05-2015 by Rafael G. Mantovani
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Author: Source: UCI Please cite: B. Kaluza, V. Mirchevska, E. Dovgan, M. Lustrek, M. Gams, An Agent-based Approach to Care in Independent Living, International Joint Conference on Ambient Intelligence (AmI-10), Malaga, Spain, In press Dataset Title: Localization Data for Person Activity Data Set Abstract: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times. Source: - Creators: Mitja Lustrek (mitja.lustrek '@' ijs.si), Bostjan Kaluza (bostjan.kaluza '@' ijs.si), Rok Piltaver (rok.piltaver '@' ijs.si), Jana Krivec (jana.krivec '@' ijs.si), Vedrana Vidulin (vedrana.vidulin '@' ijs.si) - Jozef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenija - Donor: Bozidara Cvetkovic (boza.cvetkovic '@' ijs.si) - Jozef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenija - Date received: October, 2010 Data Set Information: People used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of the tags. The tag can be identified by one of the attributes. Attribute Information: Instance example: A01,020-000-033-111,633790226057226795,27.05.2009 14:03:25:723,4.292500972747803,2.0738532543182373,1.36650812625885,walking 1) Sequence Name {A01,A02,A03,A04,A05,B01,B02,B03,B04,B05,C01,C02,C03,C04,C05,D01,D02,D03,D04,D05,E01,E02,E03,E04,E05} (Nominal) - A, B, C, D, E = 5 people 2) Tag identificator {010-000-024-033,020-000-033-111,020-000-032-221,010-000-030-096} (Nominal) - ANKLE_LEFT = 010-000-024-033 - ANKLE_RIGHT = 010-000-030-096 - CHEST = 020-000-033-111 - BELT = 020-000-032-221 3) timestamp (Numeric) all unique 4) date FORMAT = dd.MM.yyyy HH:mm:ss:SSS (Date) 5) x coordinate of the tag (Numeric) 6) y coordinate of the tag (Numeric) 7) z coordinate of the tag (Numeric) 8) activity {walking,falling,'lying down',lying,'sitting down',sitting,'standing up from lying','on all fours','sitting on the ground','standing up from sitting','standing up from sitting on the ground'} (Nominal) Relevant Papers: B. Kaluza, V. Mirchevska, E. Dovgan, M. Lustrek, M. Gams, An Agent-based Approach to Care in Independent Living, International Joint Conference on Ambient Intelligence (AmI-10), Malaga, Spain, In press

8 features

Class (target)nominal11 unique values
0 missing
V1nominal5 unique values
0 missing
V2nominal4 unique values
0 missing
V3numeric164859 unique values
0 missing
V4numeric164834 unique values
0 missing
V5numeric163802 unique values
0 missing
V6numeric163689 unique values
0 missing
V7numeric164482 unique values
0 missing

62 properties

164860
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
11
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.
5
Number of numeric attributes.
3
Number of nominal attributes.
0
Percentage of binary attributes.
47463.95
Second quartile (Median) of standard deviation of attributes of the numeric type.
2.3
Maximum entropy among attributes.
-1.2
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
2.3
Third quartile of entropy among attributes.
-1.2
Maximum kurtosis among attributes of the numeric type.
81869.99
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
-1.2
Third quartile of kurtosis among attributes of the numeric type.
82429.68
Maximum of means among attributes of the numeric type.
0
Minimal mutual information between the nominal attributes and the target attribute.
62.5
Percentage of numeric attributes.
82423.15
Third quartile of means among attributes of the numeric type.
0.01
Maximum mutual information between the nominal attributes and the target attribute.
4
The minimal number of distinct values among attributes of the nominal type.
37.5
Percentage of nominal attributes.
0.01
Third quartile of mutual information between the nominal attributes and the target attribute.
11
The maximum number of distinct values among attributes of the nominal type.
-0
Minimum skewness among attributes of the numeric type.
2
First quartile of entropy among attributes.
0
Third quartile of skewness among attributes of the numeric type.
0
Maximum skewness among attributes of the numeric type.
47224.78
Minimum standard deviation of attributes of the numeric type.
-1.2
First quartile of kurtosis among attributes of the numeric type.
47587.41
Third quartile of standard deviation of attributes of the numeric type.
47590.87
Maximum standard deviation of attributes of the numeric type.
0.84
Percentage of instances belonging to the least frequent class.
81912.93
First quartile of means among attributes of the numeric type.
3.79
Standard deviation of the number of distinct values among attributes of the nominal type.
2.15
Average entropy of the attributes.
1381
Number of instances belonging to the least frequent class.
0
First quartile of mutual information between the nominal attributes and the target attribute.
-1.2
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0
First quartile of skewness among attributes of the numeric type.
82188.57
Mean of means among attributes of the numeric type.
47228.1
First quartile of standard deviation of attributes of the numeric type.
1
Average class difference between consecutive instances.
0.01
Average mutual information between the nominal attributes and the target attribute.
2.15
Second quartile (Median) of entropy among attributes.
2.71
Entropy of the target attribute values.
321.75
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
-1.2
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
6.67
Average number of distinct values among the attributes of the nominal type.
82270.72
Second quartile (Median) of means among attributes of the numeric type.
407.18
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0
Mean skewness among attributes of the numeric type.
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
33.05
Percentage of instances belonging to the most frequent class.
47419
Mean standard deviation of attributes of the numeric type.
0
Second quartile (Median) of skewness among attributes of the numeric type.
54480
Number of instances belonging to the most frequent class.
2
Minimal entropy among attributes.

5 tasks

6 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
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