Run
7998750

Run 7998750

Task 43 (Supervised Classification) spambase Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees833
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size325
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.856620791903697
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9735
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9322
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8573
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3093.2723
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1749
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9326
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9326
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3662
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2539
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5197
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1836.52
UserCPU time millis
28.276
UserCPU time millis testing
1.118
UserCPU time millis training
27.158