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test_hate_vects

test_hate_vects

active ARFF Public Domain (CC0) Visibility: public Uploaded 24-06-2020 by Richard Cook
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sd vfv

50 features

hate (target)nominal2 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
11numeric2 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
23numeric2 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
36numeric2 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

19 properties

4
Number of instances (rows) of the dataset.
50
Number of attributes (columns) of the dataset.
2
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.
0
Percentage of instances having missing values.
0.33
Average class difference between consecutive instances.
0
Percentage of missing values.
12.5
Number of attributes divided by the number of instances.
96
Percentage of numeric attributes.
75
Percentage of instances belonging to the most frequent class.
4
Percentage of nominal attributes.
3
Number of instances belonging to the most frequent class.
25
Percentage of instances belonging to the least frequent class.
1
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
2
Percentage of binary attributes.

7 tasks

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