Data
mlr_glmnet_rng

mlr_glmnet_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 glmnet through mlr on 114 different classification tasks from openml.

10 features

perf.mmce (target)numeric21211 unique values
0 missing
perf.logloss (target)numeric48031 unique values
0 missing
task_idnumeric114 unique values
0 missing
datasetstring114 unique values
0 missing
learnerstring1 unique values
0 missing
traintimenumeric82005 unique values
0 missing
predicttimenumeric33949 unique values
0 missing
num.impute.selected.cpostring3 unique values
0 missing
alphanumeric2114 unique values
0 missing
snumeric2235 unique values
0 missing

19 properties

104820
Number of instances (rows) of the dataset.
10
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.
7
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
70
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.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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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