Data
NASA_PHM2008_1

NASA_PHM2008_1

active ARFF BSD (from scikit-learn) Visibility: public Uploaded 23-03-2021 by Tan Zheng
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22 features

class (target)numeric357 unique values
0 missing
sensor_1numeric3 unique values
0 missing
sensor_2numeric1588 unique values
0 missing
sensor_3numeric13697 unique values
0 missing
sensor_4numeric17010 unique values
0 missing
sensor_5numeric2 unique values
0 missing
sensor_6numeric14 unique values
0 missing
sensor_7numeric2004 unique values
0 missing
sensor_8numeric880 unique values
0 missing
sensor_9numeric22302 unique values
0 missing
sensor_10numeric10 unique values
0 missing
sensor_11numeric822 unique values
0 missing
sensor_12numeric1633 unique values
0 missing
sensor_13numeric921 unique values
0 missing
sensor_14numeric21595 unique values
0 missing
sensor_15numeric10153 unique values
0 missing
sensor_16numeric5 unique values
0 missing
sensor_17numeric64 unique values
0 missing
sensor_18numeric1 unique values
0 missing
sensor_19numeric1 unique values
0 missing
sensor_20numeric518 unique values
0 missing
sensor_21numeric16988 unique values
0 missing

19 properties

45918
Number of instances (rows) of the dataset.
22
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.
22
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
-0.99
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.
0
Percentage of binary attributes.

2 tasks

4 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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