Data
ar5

ar5

active ARFF Publicly available Visibility: public Uploaded 06-10-2014 by Joaquin Vanschoren
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  • mythbusting_1 study_1 study_123 study_15 study_20 study_41
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30 features

defects (target)nominal2 unique values
0 missing
total_locnumeric32 unique values
0 missing
blank_locnumeric24 unique values
0 missing
comment_locnumeric18 unique values
0 missing
code_and_comment_locnumeric6 unique values
0 missing
executable_locnumeric30 unique values
0 missing
unique_operandsnumeric29 unique values
0 missing
unique_operatorsnumeric17 unique values
0 missing
total_operandsnumeric35 unique values
0 missing
total_operatorsnumeric35 unique values
0 missing
halstead_vocabularynumeric31 unique values
0 missing
halstead_lengthnumeric34 unique values
0 missing
halstead_volumenumeric36 unique values
0 missing
halstead_levelnumeric35 unique values
0 missing
halstead_difficultynumeric35 unique values
0 missing
halstead_effortnumeric36 unique values
0 missing
halstead_errornumeric36 unique values
0 missing
halstead_timenumeric36 unique values
0 missing
branch_countnumeric22 unique values
0 missing
decision_countnumeric22 unique values
0 missing
call_pairsnumeric13 unique values
0 missing
condition_countnumeric21 unique values
0 missing
multiple_condition_countnumeric14 unique values
0 missing
cyclomatic_complexitynumeric20 unique values
0 missing
cyclomatic_densitynumeric34 unique values
0 missing
decision_densitynumeric14 unique values
0 missing
design_complexitynumeric13 unique values
0 missing
design_densitynumeric24 unique values
0 missing
normalized_cyclomatic_complexitynumeric35 unique values
0 missing
formal_parametersnumeric3 unique values
0 missing

19 properties

36
Number of instances (rows) of the dataset.
30
Number of attributes (columns) of the dataset.
2
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.
29
Number of numeric attributes.
1
Number of nominal attributes.
3.33
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.69
Average class difference between consecutive instances.
0
Percentage of missing values.
0.83
Number of attributes divided by the number of instances.
96.67
Percentage of numeric attributes.
77.78
Percentage of instances belonging to the most frequent class.
3.33
Percentage of nominal attributes.
28
Number of instances belonging to the most frequent class.
22.22
Percentage of instances belonging to the least frequent class.
8
Number of instances belonging to the least frequent class.
1
Number of binary attributes.

5 tasks

521 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: defects
218 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: defects
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: defects
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