Data
AccelerometerData

AccelerometerData

in_preparation ARFF Publicly available Visibility: public Uploaded 13-05-2015 by Farzan Majdani
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Author: Farzan Majdani Source: Unknown - Date unknown Please cite: RealTime accelerometer data from mobile phone to regonse walking pattern.

3 features

class (target)nominal3 unique values
0 missing
idnominal0 unique values
38 missing
bagunknown38 unique values
0 missing

19 properties

38
Number of instances (rows) of the dataset.
3
Number of attributes (columns) of the dataset.
3
Number of distinct values of the target attribute (if it is nominal).
38
Number of missing values in the dataset.
38
Number of instances with at least one value missing.
0
Number of numeric attributes.
2
Number of nominal attributes.
0
Percentage of binary attributes.
1
Percentage of instances having missing values.
0.95
Average class difference between consecutive instances.
0.33
Percentage of missing values.
0.08
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
0.45
Percentage of instances belonging to the most frequent class.
0.67
Percentage of nominal attributes.
17
Number of instances belonging to the most frequent class.
0.26
Percentage of instances belonging to the least frequent class.
10
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

8 tasks

6 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
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