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mydata

mydata

active ARFF Public Domain (CC0) Visibility: public Uploaded 27-06-2020 by Tejashree Sawant
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mydata

36 features

attribute_0numeric3892 unique values
0 missing
avg_marksnumeric1207 unique values
0 missing
min_marksnumeric745 unique values
0 missing
max_marksnumeric746 unique values
0 missing
surrounding_environmentnumeric2 unique values
0 missing
level_of_comfortable_zone_for_studentnumeric3 unique values
0 missing
university_contribution_in_paper_settingnumeric3 unique values
0 missing
stud_contribution_in_fighting_for_examnumeric2 unique values
0 missing
stud_teacher_contribution_in_learningnumeric3 unique values
0 missing
gendernumeric2 unique values
0 missing
locationnumeric2 unique values
0 missing
pg_sem_2numeric1339 unique values
0 missing
pg_sem_3numeric1372 unique values
0 missing
travel_timenumeric4 unique values
0 missing
study_hoursnumeric5 unique values
0 missing
classattentivenessnumeric2 unique values
0 missing
extratutionsnumeric2 unique values
0 missing
teachinglearninggapnumeric3 unique values
0 missing
examenvironmentnumeric3 unique values
0 missing
ownstudynotesnumeric3 unique values
0 missing
time_on_socialmedianumeric2 unique values
0 missing
use_online_coursenumeric2 unique values
0 missing
familymotivationnumeric3 unique values
0 missing
expertmotivationnumeric3 unique values
0 missing
friendsmotivationnumeric3 unique values
0 missing
health_issuesnumeric3 unique values
0 missing
inappropriate_yllabusnumeric3 unique values
0 missing
family_responsiblitiesnumeric3 unique values
0 missing
festival_holidaysnumeric2 unique values
0 missing
financial_statusnumeric3 unique values
0 missing
incentive_programsnumeric2 unique values
0 missing
exam_stressnumeric2 unique values
0 missing
overall_pg_performancenumeric3 unique values
0 missing
pg_sem_4_10_classesnumeric5 unique values
0 missing
pg_class_codednumeric5 unique values
0 missing
pg_class_coded_catnominal5 unique values
0 missing

19 properties

3892
Number of instances (rows) of the dataset.
36
Number of attributes (columns) of the dataset.
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.
35
Number of numeric attributes.
1
Number of nominal attributes.
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.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
97.22
Percentage of numeric attributes.
0.01
Number of attributes divided by the number of instances.
2.78
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

6 tasks

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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