Run
8288499

Run 8288499

Task 43 (Supervised Classification) spambase Uploaded 28-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees785
mlr.classif.ranger(13)_mtry14
mlr.classif.ranger(13)_min.node.size2
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.551795573602431
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9853
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.949
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3709.2773
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1029
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
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9491
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2155
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.41
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1292.2544
Total cost
UserCPU time millis
242.771
UserCPU time millis testing
7.484
UserCPU time millis training
235.287