Run
8541729

Run 8541729

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 18-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1413
mlr.classif.ranger(15)_mtry3
mlr.classif.ranger(15)_min.node.size23
mlr.classif.ranger(15)_sample.fraction0.820138496323489
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9802
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9604
Cross-validation details (10-fold Crossvalidation)
KB relative information score
347.8457
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2147
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9802
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.9802
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4294
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2588
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5176
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.3977
UserCPU time millis
2.7
UserCPU time millis testing
0.32
UserCPU time millis training
2.38