Run
8783759

Run 8783759

Task 145854 (Supervised Classification) nomao Uploaded 09-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees259
mlr.classif.ranger(16)_mtry116
mlr.classif.ranger(16)_min.node.size20073
mlr.classif.ranger(16)_sample.fraction0.214336912939325
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5954
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.408
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7144
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.7144
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1376.5707
UserCPU time millis
9.799
UserCPU time millis testing
1.193
UserCPU time millis training
8.606