Run
8656990

Run 8656990

Task 9889 (Supervised Classification) wilt Uploaded 16-12-2017 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(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1966
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size523
mlr.classif.ranger(16)_sample.fraction0.978448414523154
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
0.9765
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9692
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1258.8555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0484
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9688
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9711
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9711
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4734
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1486
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.658
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1339.7636
UserCPU time millis
51.49
UserCPU time millis testing
1.708
UserCPU time millis training
49.782