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KDD

KDD

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Smith
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This dataset is for classification tasks, and has both continuous and categorical variables.

46 features

class (target)numeric2 unique values
0 missing
Var126numeric51 unique values
0 missing
Var125numeric2673 unique values
0 missing
Var132numeric13 unique values
0 missing
Var133numeric4648 unique values
0 missing
Var134numeric4238 unique values
0 missing
Var140numeric1065 unique values
0 missing
Var144numeric8 unique values
0 missing
Var149numeric2703 unique values
0 missing
Var153numeric4917 unique values
0 missing
Var160numeric166 unique values
0 missing
Var163numeric3179 unique values
0 missing
Var196nominal2 unique values
0 missing
Var203nominal4 unique values
0 missing
Var205nominal4 unique values
0 missing
Var207nominal11 unique values
0 missing
Var208nominal3 unique values
0 missing
Var210nominal5 unique values
0 missing
Var211nominal2 unique values
0 missing
Var218nominal2 unique values
0 missing
Var221nominal7 unique values
0 missing
Var223nominal5 unique values
0 missing
Var227nominal7 unique values
0 missing
Var74numeric187 unique values
0 missing
Var13numeric1137 unique values
0 missing
Var21numeric321 unique values
0 missing
Var22numeric321 unique values
0 missing
Var24numeric46 unique values
0 missing
Var25numeric130 unique values
0 missing
Var28numeric944 unique values
0 missing
Var35numeric9 unique values
0 missing
Var38numeric3878 unique values
0 missing
Var57numeric4658 unique values
0 missing
Var65numeric11 unique values
0 missing
Var73numeric113 unique values
0 missing
Var6numeric707 unique values
0 missing
Var76numeric3903 unique values
0 missing
Var78numeric8 unique values
0 missing
Var81numeric5019 unique values
0 missing
Var83numeric62 unique values
0 missing
Var85numeric64 unique values
0 missing
Var109numeric87 unique values
0 missing
Var112numeric100 unique values
0 missing
Var113numeric5019 unique values
0 missing
Var119numeric647 unique values
0 missing
Var123numeric102 unique values
0 missing

19 properties

5032
Number of instances (rows) of the dataset.
46
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.
35
Number of numeric attributes.
11
Number of nominal attributes.
23.91
Percentage of nominal attributes.
0.99
Average class difference between consecutive instances.
76.09
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
6.52
Percentage of binary attributes.
3
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.
0.01
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Define a new task