Run
8843384

Run 8843384

Task 146803 (Supervised Classification) credit-g Uploaded 26-01-2018 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.trees68
mlr.classif.ranger(9)_mtry15
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.747709292103536
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
0.7853
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7605
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4128
Cross-validation details (10-fold Crossvalidation)
KB relative information score
208.8012
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3283
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
0.76
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.771
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.771
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7814
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.405
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8839
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1838.217
UserCPU time millis
0.887
UserCPU time millis testing
0.06
UserCPU time millis training
0.827