Run
8369961

Run 8369961

Task 145853 (Supervised Classification) madelon Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees50
mlr.classif.ranger(13)_mtry7
mlr.classif.ranger(13)_min.node.size633
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.681782918819226
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6607
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6069
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2138
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.397
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4903
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.607
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6069
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6069
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4913
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9826
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1239.647
UserCPU time millis
10.574
UserCPU time millis testing
0.874
UserCPU time millis training
9.7