Run
8745106

Run 8745106

Task 146803 (Supervised Classification) credit-g Uploaded 30-12-2017 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.trees1047
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size121
mlr.classif.ranger(9)_sample.fraction0.546234005875886
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
0.7858
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2445
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.1134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3602
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
0.7303
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.741
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.741
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8572
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9005
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1729.6001
UserCPU time millis
2.742
UserCPU time millis testing
0.284
UserCPU time millis training
2.458