Run
8634834

Run 8634834

Task 145854 (Supervised Classification) nomao Uploaded 10-12-2017 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.trees1650
mlr.classif.ranger(16)_mtry108
mlr.classif.ranger(16)_min.node.size14
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.191089685214683
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
0.9909
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9598
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28567.6553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0739
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
0.9598
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9599
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9599
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1777
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3933
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1454.4868
UserCPU time millis
4033.13
UserCPU time millis testing
16.428
UserCPU time millis training
4016.702