Data
mlr_ranger_rng

mlr_ranger_rng

active ARFF Attribution-ShareAlike (CC BY-SA) Visibility: public Uploaded 23-05-2020 by Pieter Gijsbers
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Experiment data obtained by running random configurations of ranger through mlr on 119 different classification tasks from openml.

16 features

perf.mmce (target)numeric85455 unique values
29 missing
perf.logloss (target)numeric278785 unique values
29 missing
task_idnumeric148 unique values
0 missing
datasetstring119 unique values
29 missing
learnerstring1 unique values
29 missing
traintimenumeric183188 unique values
29 missing
predicttimenumeric110885 unique values
29 missing
num.impute.selected.cpostring3 unique values
29 missing
num.treesnumeric1936 unique values
29 missing
replacestring2 unique values
29 missing
sample.fractionnumeric4746 unique values
29 missing
respect.unordered.factorsstring3 unique values
29 missing
min.node.sizenumeric161 unique values
29 missing
splitrulestring2 unique values
29 missing
num.random.splitsnumeric138 unique values
138559 missing
mtrynumeric2213 unique values
29 missing

19 properties

278863
Number of instances (rows) of the dataset.
16
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
138965
Number of missing values in the dataset.
138559
Number of instances with at least one value missing.
10
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.
49.69
Percentage of instances having missing values.
3.11
Percentage of missing values.
Average class difference between consecutive instances.
62.5
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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