Run
8170584

Run 8170584

Task 145972 (Supervised Classification) credit-g Uploaded 19-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1539
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size112
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.323519583232701
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
0.7876
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5765
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.846
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3999
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
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9517
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4383
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9563
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1719.6646
UserCPU time millis
2.599
UserCPU time millis testing
0.477
UserCPU time millis training
2.122