Run
8652093

Run 8652093

Task 9977 (Supervised Classification) nomao Uploaded 14-12-2017 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.trees718
mlr.classif.ranger(15)_mtry86
mlr.classif.ranger(15)_min.node.size9
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.57783723899629
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
0.9932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9666
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9181
Cross-validation details (10-fold Crossvalidation)
KB relative information score
29732.6906
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0592
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
0.9666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1451
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.161
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3565
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1563.7976
UserCPU time millis
3253.71
UserCPU time millis testing
11.42
UserCPU time millis training
3242.29