Data
mlr_rpart_rng

mlr_rpart_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 rpart through mlr on 115 different classification tasks from openml.

12 features

perf.mmce (target)numeric21760 unique values
0 missing
perf.logloss (target)numeric27585 unique values
0 missing
task_idnumeric115 unique values
0 missing
datasetstring115 unique values
0 missing
learnerstring1 unique values
0 missing
traintimenumeric61543 unique values
0 missing
predicttimenumeric34397 unique values
0 missing
num.impute.selected.cpostring3 unique values
0 missing
cpnumeric1381 unique values
0 missing
maxdepthnumeric30 unique values
0 missing
minbucketnumeric131 unique values
0 missing
minsplitnumeric124 unique values
0 missing

19 properties

92067
Number of instances (rows) of the dataset.
12
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.
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.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
75
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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