Run
8710080

Run 8710080

Task 145854 (Supervised Classification) nomao Uploaded 28-12-2017 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.trees1702
mlr.classif.ranger(16)_mtry93
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.691592525807209
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
0.9937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9229
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30067.602
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0547
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
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9686
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9686
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.134
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1574
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3484
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1359.2009
UserCPU time millis
13650.878
UserCPU time millis testing
24.875
UserCPU time millis training
13626.003