OpenML
8652130

Run 8652130

Task 9977 (Supervised Classification) nomao Uploaded 14-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees239
mlr.classif.ranger(15)_mtry58
mlr.classif.ranger(15)_min.node.size746
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.283326854649931
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9803
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9287
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8221
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24999.8795
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9303
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863
Cross-validation details (10-fold Crossvalidation)
Recall
0.9303
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2851
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2265
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5013
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1414.0145
UserCPU time millis
214.2
UserCPU time millis testing
1.84
UserCPU time millis training
212.36