Run
8534019

Run 8534019

Task 146066 (Supervised Classification) monks-problems-3 Uploaded 16-11-2017 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.trees109
mlr.classif.ranger(9)_mtry6
mlr.classif.ranger(9)_min.node.size5
mlr.classif.ranger(9)_sample.fraction0.517562722880393
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
0.9948
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
528.3342
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0267
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
0.0536
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1075
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2152
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1826.7488
UserCPU time millis
0.228
UserCPU time millis testing
0.049
UserCPU time millis training
0.179