Run
8783857

Run 8783857

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 10-01-2018 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1630
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size103
mlr.classif.ranger(16)_sample.fraction0.599919405020773
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.9449
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
211.1504
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3236
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
0.8317
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.7464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6472
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3852
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7705
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1375.886
UserCPU time millis
1.72
UserCPU time millis testing
0.274
UserCPU time millis training
1.446