Data
mlr_svm_rng

mlr_svm_rng

active ARFF Attribution-ShareAlike (CC BY-SA) Visibility: public Uploaded 22-05-2020 by Pieter Gijsbers
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Experiment data obtained by running random configurations of an SVM through mlr on 106 different classification tasks from openml.

15 features

perf.mmce (target)numeric107562 unique values
0 missing
perf.logloss (target)numeric534730 unique values
0 missing
task_idnumeric106 unique values
0 missing
datasetstring106 unique values
0 missing
learnerstring2 unique values
0 missing
traintimenumeric268011 unique values
0 missing
predicttimenumeric121294 unique values
0 missing
kernelstring3 unique values
0 missing
costnumeric13367 unique values
0 missing
gammanumeric6943 unique values
241769 missing
tolerancenumeric13340 unique values
0 missing
shrinkingstring2 unique values
0 missing
num.impute.selected.cpostring3 unique values
0 missing
fittedstring1 unique values
0 missing
degreenumeric8 unique values
417193 missing

19 properties

540576
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
658962
Number of missing values in the dataset.
540576
Number of instances with at least one value missing.
9
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.
100
Percentage of instances having missing values.
8.13
Percentage of missing values.
Average class difference between consecutive instances.
60
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.

7 tasks

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
0 runs - estimation_procedure: 50 times Clustering
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