Data
mlr_xgboost_rng

mlr_xgboost_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 xgboost through mlr on 118 different classification tasks from openml. Parameter descriptions: https://xgboost.readthedocs.io/en/latest/parameter.html

21 features

perf.mmce (target)numeric717489 unique values
0 missing
perf.logloss (target)numeric2477560 unique values
0 missing
datasetstring119 unique values
0 missing
learnerstring3 unique values
0 missing
traintimenumeric855953 unique values
0 missing
predicttimenumeric371639 unique values
0 missing
gammanumeric43779 unique values
358433 missing
num.impute.selected.cpostring3 unique values
0 missing
nroundsnumeric2623 unique values
0 missing
etanumeric43526 unique values
358433 missing
lambdanumeric48477 unique values
0 missing
alphanumeric48449 unique values
0 missing
subsamplenumeric47500 unique values
0 missing
max_depthnumeric31 unique values
358433 missing
min_child_weightnumeric43364 unique values
358433 missing
colsample_bytreenumeric43166 unique values
358433 missing
colsample_bylevelnumeric43126 unique values
358433 missing
boosterstring3 unique values
0 missing
rate_dropnumeric16473 unique values
2450204 missing
skip_dropnumeric16471 unique values
2450204 missing
task_idnumeric119 unique values
0 missing
Show all 21 features

19 properties

NumberOfInstances
2955210
Number of instances (rows) of the dataset.
NumberOfFeatures
21
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
7051006
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
2450204
Number of instances with at least one value missing.
NumberOfNumericFeatures
17
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
80.95
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
82.91
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
11.36
Percentage of missing values.
Show all 19 properties

7 tasks

Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
Clustering on mlr_xgboost_rng
0 runs - estimation_procedure: 50 times Clustering
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