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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.
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.
0.84
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0
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.

4 tasks

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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