Run
8672263

Run 8672263

Task 9889 (Supervised Classification) wilt Uploaded 24-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees1231
mlr.classif.ranger(16)_mtry5
mlr.classif.ranger(16)_min.node.size83
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.248777494463138
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
0.9834
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9729
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7189
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1905.2706
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0426
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
0.9729
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4168
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1339
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5927
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1142.9497
UserCPU time millis
25.382
UserCPU time millis testing
1.458
UserCPU time millis training
23.924