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auml_eml_1_b

auml_eml_1_b

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

24 features

class (target)numeric2 unique values
0 missing
F2_word_countnumeric1003 unique values
7 missing
F2_char_countnumeric2162 unique values
7 missing
F2_distinct_word_countnumeric655 unique values
7 missing
F2_vocab_richnessnumeric3082 unique values
7 missing
F2_func_word_count_1numeric21 unique values
7 missing
F2_func_word_count_2numeric9 unique values
7 missing
F2_func_word_count_3numeric13 unique values
7 missing
F2_func_word_count_4numeric3 unique values
7 missing
F2_func_word_count_5numeric12 unique values
7 missing
F2_func_word_count_6numeric7 unique values
7 missing
F2_func_word_count_7numeric4 unique values
7 missing
F2_func_word_count_8numeric13 unique values
7 missing
F2_func_word_count_9numeric6 unique values
7 missing
F2_func_word_count_10numeric5 unique values
7 missing
F2_func_word_count_11numeric9 unique values
7 missing
F2_func_word_count_12numeric7 unique values
7 missing
F2_func_word_count_13numeric6 unique values
7 missing
F2_func_word_count_14numeric9 unique values
7 missing
F2_func_word_count_15numeric6 unique values
7 missing
F2_func_word_count_16numeric16 unique values
7 missing
F2_func_word_count_17numeric15 unique values
7 missing
F2_func_word_count_18numeric6 unique values
7 missing
F2_total_function_words_per_word_countnumeric1052 unique values
7 missing

19 properties

4585
Number of instances (rows) of the dataset.
24
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
161
Number of missing values in the dataset.
7
Number of instances with at least one value missing.
24
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.
0.15
Percentage of instances having missing values.
0.15
Percentage of missing values.
0.84
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0.01
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.

2 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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