Data
33

33

active ARFF Public Domain (CC0) Visibility: public Uploaded 17-02-2022 by Dijana Oreški
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  • Computer Systems Machine Learning
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33

17 features

Level of study?nominal2 unique values
0 missing
Age?numeric11 unique values
445 missing
Used smartphone/computer/laptop previously before online class?nominal2 unique values
188 missing
Result increased after online education (comparatively)?nominal2 unique values
323 missing
Knowledge increased after online education (comparatively)?nominal2 unique values
0 missing
Happy with online education?nominal2 unique values
0 missing
Education Institute Area?nominal2 unique values
529 missing
Have Internet availability?nominal2 unique values
0 missing
Broadband / Mobile Internet?nominal2 unique values
0 missing
Total hours of study before online education?numeric4 unique values
0 missing
Total hours of study after online education?numeric3 unique values
0 missing
Class performance increased in online education?nominal2 unique values
0 missing
Institute Typenominal2 unique values
726 missing
Current location (During Study) ?nominal2 unique values
726 missing
Gendernominal2 unique values
676 missing
Faced any issue with online class?nominal2 unique values
701 missing
Preferred device for an online coursenominal2 unique values
0 missing

19 properties

8783
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4314
Number of missing values in the dataset.
3068
Number of instances with at least one value missing.
3
Number of numeric attributes.
14
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
17.65
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
82.35
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.
14
Number of binary attributes.
82.35
Percentage of binary attributes.
34.93
Percentage of instances having missing values.
Average class difference between consecutive instances.
2.89
Percentage of missing values.

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