Run
8535858

Run 8535858

Task 145854 (Supervised Classification) nomao Uploaded 17-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees658
mlr.classif.ranger(15)_mtry6
mlr.classif.ranger(15)_min.node.size61
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.171272702538408
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9503
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8773
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26070.7808
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1085
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
0.9505
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2659
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4427
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1439.0379
UserCPU time millis
231.38
UserCPU time millis testing
10.59
UserCPU time millis training
220.79