Run
8038540

Run 8038540

Task 145972 (Supervised Classification) credit-g Uploaded 17-10-2017 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.trees1214
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size239
mlr.classif.ranger(9)_sample.fraction0.979288603295572
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
0.7758
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.712
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2845
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.6813
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3542
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
0.7292
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.745
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.745
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8431
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4132
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9017
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1839.0605
UserCPU time millis
4.147
UserCPU time millis testing
0.376
UserCPU time millis training
3.771