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

19 properties

2955210
Number of instances (rows) of the dataset.
21
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
7051006
Number of missing values in the dataset.
2450204
Number of instances with at least one value missing.
17
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.
82.91
Percentage of instances having missing values.
11.36
Percentage of missing values.
Average class difference between consecutive instances.
80.95
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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