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auml_eml_1_d

auml_eml_1_d

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-09-2020 by Rizka Purwanto
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Email dataset 1d

11 features

class (target)numeric2 unique values
0 missing
F4_plsa_topic_1numeric3628 unique values
0 missing
F4_plsa_topic_2numeric3697 unique values
0 missing
F4_plsa_topic_3numeric3647 unique values
0 missing
F4_plsa_topic_4numeric3677 unique values
0 missing
F4_plsa_topic_5numeric3642 unique values
0 missing
F4_plsa_topic_6numeric3626 unique values
0 missing
F4_plsa_topic_7numeric3666 unique values
0 missing
F4_plsa_topic_8numeric3681 unique values
0 missing
F4_plsa_topic_9numeric3658 unique values
0 missing
F4_plsa_topic_10numeric3643 unique values
0 missing

19 properties

4585
Number of instances (rows) of the dataset.
11
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.
11
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
0.84
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.

5 tasks

0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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