Data
mlr_ranger_rng

mlr_ranger_rng

active ARFF Attribution-ShareAlike (CC BY-SA) Visibility: public Uploaded 23-05-2020 by Pieter Gijsbers
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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
Show all 16 features

19 properties

NumberOfInstances
278863
Number of instances (rows) of the dataset.
NumberOfFeatures
16
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
138965
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
138559
Number of instances with at least one value missing.
NumberOfNumericFeatures
10
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
62.5
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
49.69
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
3.11
Percentage of missing values.
Show all 19 properties

7 tasks

Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_ranger_rng
0 runs - estimation_procedure: 50 times Clustering
Define a new task