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test_hate_vects2

test_hate_vects2

active ARFF Public Domain (CC0) Visibility: public Uploaded 24-06-2020 by Jennifer Pierce
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r rg

50 features

36numeric2 unique values
0 missing
24numeric2 unique values
0 missing
25numeric2 unique values
0 missing
26numeric2 unique values
0 missing
27numeric2 unique values
0 missing
28numeric2 unique values
0 missing
29numeric2 unique values
0 missing
30numeric2 unique values
0 missing
31numeric2 unique values
0 missing
32numeric2 unique values
0 missing
33numeric2 unique values
0 missing
34numeric2 unique values
0 missing
35numeric2 unique values
0 missing
23numeric2 unique values
0 missing
37numeric2 unique values
0 missing
38numeric2 unique values
0 missing
39numeric2 unique values
0 missing
40numeric2 unique values
0 missing
41numeric2 unique values
0 missing
42numeric2 unique values
0 missing
43numeric2 unique values
0 missing
44numeric2 unique values
0 missing
45numeric2 unique values
0 missing
46numeric2 unique values
0 missing
47numeric2 unique values
0 missing
11numeric2 unique values
0 missing
transnominal4 unique values
0 missing
0numeric2 unique values
0 missing
1numeric2 unique values
0 missing
2numeric2 unique values
0 missing
3numeric2 unique values
0 missing
4numeric2 unique values
0 missing
5numeric2 unique values
0 missing
6numeric2 unique values
0 missing
7numeric2 unique values
0 missing
8numeric2 unique values
0 missing
9numeric2 unique values
0 missing
10numeric2 unique values
0 missing
hatenominal2 unique values
0 missing
12numeric2 unique values
0 missing
13numeric2 unique values
0 missing
14numeric2 unique values
0 missing
15numeric2 unique values
0 missing
16numeric2 unique values
0 missing
17numeric2 unique values
0 missing
18numeric2 unique values
0 missing
19numeric2 unique values
0 missing
20numeric2 unique values
0 missing
21numeric2 unique values
0 missing
22numeric2 unique values
0 missing

19 properties

4
Number of instances (rows) of the dataset.
50
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.
48
Number of numeric attributes.
2
Number of nominal attributes.
4
Percentage of nominal attributes.
Average class difference between consecutive instances.
96
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
2
Percentage of binary attributes.
1
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
12.5
Number of attributes divided by the number of instances.

8 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: f_measure, precision, recall - target_feature: hate
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: confusion_matrix, recall, f_measure - target_feature: hate
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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