Run
5834428

Run 5834428

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 13-07-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot3 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees652
mlr.classif.ranger(13)_mtry1
mlr.classif.ranger(13)_sample.fraction0.450828561699018
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8683
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.741
Cross-validation details (10-fold Crossvalidation)
KB relative information score
164.782
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.379
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
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8705
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7581
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3907
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7813
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1289.8449
UserCPU time millis
3.872
UserCPU time millis testing
0.515
UserCPU time millis training
3.357