Data
datasets-uta4

datasets-uta4

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  • breast_cancer human-computer_interaction medical_imaging user_research
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Author: Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento This work was partially supported by national funds through FCT and IST through the UID/EEA/50009/2013 project", "BL89/2017-IST-ID grant. Source: [original](https://www.kaggle.com/MIMBCD-UI/uta4-sm-vs-mm-sheets-nameless) - 03/03/2018 Please cite: https://doi.org/10.1145/3399715.3399744 In this dataset, we present usability (SUS), workload (NASA-TLX), time, and rates (BIRADS) results of clinicians from our User Tests and Analysis 4 (UTA4) study.

62 features

physicians_number (row identifier)numeric31 unique values
0 missing
s_mental_demandnumeric9 unique values
0 missing
s_physical_demandnumeric7 unique values
0 missing
s_temporal_demandnumeric7 unique values
0 missing
s_performancenumeric12 unique values
0 missing
s_effortnumeric8 unique values
0 missing
s_frustrationnumeric12 unique values
0 missing
s_sus_01numeric5 unique values
0 missing
s_sus_02numeric4 unique values
0 missing
s_sus_03numeric4 unique values
0 missing
s_sus_04numeric4 unique values
0 missing
s_sus_05numeric4 unique values
0 missing
s_sus_06numeric5 unique values
0 missing
s_sus_07numeric5 unique values
0 missing
s_sus_08numeric2 unique values
0 missing
s_sus_09numeric4 unique values
0 missing
s_sus_10numeric5 unique values
0 missing
s_time_p1numeric28 unique values
0 missing
s_time_p3numeric29 unique values
0 missing
s_time_p2numeric21 unique values
0 missing
s_time_totalnumeric27 unique values
0 missing
s_clicks_p1numeric22 unique values
0 missing
s_clicks_p3numeric8 unique values
0 missing
s_clicks_p2numeric9 unique values
0 missing
s_clicks_totalnumeric21 unique values
0 missing
s_errors_p1numeric2 unique values
0 missing
s_errors_p3numeric2 unique values
0 missing
s_errors_p2numeric3 unique values
0 missing
s_errors_totalnumeric3 unique values
0 missing
s_birads_p1numeric5 unique values
0 missing
s_birads_p3numeric6 unique values
0 missing
s_birads_p2numeric4 unique values
0 missing
m_mental_demandnumeric9 unique values
0 missing
m_physical_demandnumeric8 unique values
0 missing
m_temporal_demandnumeric8 unique values
0 missing
m_performancenumeric12 unique values
0 missing
m_effortnumeric9 unique values
0 missing
m_frustrationnumeric11 unique values
0 missing
m_sus_01numeric5 unique values
0 missing
m_sus_02numeric4 unique values
0 missing
m_sus_03numeric3 unique values
0 missing
m_sus_04numeric4 unique values
0 missing
m_sus_05numeric3 unique values
0 missing
m_sus_06numeric4 unique values
0 missing
m_sus_07numeric4 unique values
0 missing
m_sus_08numeric3 unique values
0 missing
m_sus_09numeric3 unique values
0 missing
m_sus_10numeric5 unique values
0 missing
m_time_p1numeric29 unique values
0 missing
m_time_p2numeric24 unique values
0 missing
m_time_p3numeric29 unique values
0 missing
m_time_totalnumeric30 unique values
0 missing
m_clicks_p1numeric21 unique values
0 missing
m_clicks_p2numeric16 unique values
0 missing
m_clicks_p3numeric21 unique values
0 missing
m_clicks_totalnumeric28 unique values
0 missing
m_errors_p1numeric4 unique values
0 missing
m_errors_p2numeric2 unique values
0 missing
m_errors_p3numeric2 unique values
0 missing
m_errors_totalnumeric4 unique values
0 missing
m_birads_p1numeric5 unique values
0 missing
m_birads_p2numeric2 unique values
0 missing
m_birads_p3numeric4 unique values
0 missing

19 properties

31
Number of instances (rows) of the dataset.
62
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.
62
Number of numeric attributes.
0
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.
100
Percentage of numeric attributes.
2
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.

7 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
0 runs - estimation_procedure: 50 times Clustering
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