Run
8695073

Run 8695073

Task 145854 (Supervised Classification) nomao Uploaded 26-12-2017 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.trees1461
mlr.classif.ranger(16)_mtry83
mlr.classif.ranger(16)_min.node.size2422
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.198114719823934
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
0.9319
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8684
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6799
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17480.1811
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2051
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
0.8697
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8674
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.8674
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5026
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3085
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6829
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1361.531
UserCPU time millis
1217.963
UserCPU time millis testing
9.83
UserCPU time millis training
1208.133