Run
8612513

Run 8612513

Task 146803 (Supervised Classification) credit-g Uploaded 03-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees945
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size50
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.501405710796826
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.7894
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7213
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3076
Cross-validation details (10-fold Crossvalidation)
KB relative information score
172.1687
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3475
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7368
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.751
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.751
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.827
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8878
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2009.747
UserCPU time millis
3.158
UserCPU time millis testing
0.377
UserCPU time millis training
2.781