OpenML
8260780

Run 8260780

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 26-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees180
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size20
mlr.classif.ranger(9)_sample.fraction0.176665306813084
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
0.9092
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7505
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5288
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.3541
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4309
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
0.8399
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7644
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7644
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8618
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8764
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1875.5079
UserCPU time millis
0.171
UserCPU time millis testing
0.036
UserCPU time millis training
0.135