OpenML
8267813

Run 8267813

Task 145878 (Supervised Classification) wdbc Uploaded 27-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees910
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size20
mlr.classif.ranger(9)_sample.fraction0.28532670319546
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
0.9886
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8947
Cross-validation details (10-fold Crossvalidation)
KB relative information score
447.6995
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9508
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9508
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2345
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4168
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1774.3424
UserCPU time millis
1.597
UserCPU time millis testing
0.357
UserCPU time millis training
1.24