Run
8542141

Run 8542141

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 18-11-2017 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(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees740
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size13
mlr.classif.ranger(9)_sample.fraction0.868646542658098
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
0.9934
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9783
Cross-validation details (10-fold Crossvalidation)
KB relative information score
519.826
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0366
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9892
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0733
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2271
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1770.533
UserCPU time millis
1.192
UserCPU time millis testing
0.137
UserCPU time millis training
1.055