Run
8657022

Run 8657022

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.trees1467
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size512
mlr.classif.ranger(16)_sample.fraction0.930130244488828
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
0.9766
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
1254.0256
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0486
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
0.475
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1488
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6586
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1343.898
UserCPU time millis
37.312
UserCPU time millis testing
1.316
UserCPU time millis training
35.996