Run
8541277

Run 8541277

Task 145979 (Supervised Classification) spambase Uploaded 18-11-2017 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.trees1718
mlr.classif.ranger(15)_mtry16
mlr.classif.ranger(15)_min.node.size1658
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.63800851542037
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
0.9481
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8929
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7738
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2042.1393
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2942
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
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8946
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8946
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.616
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3321
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6796
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1271.9251
UserCPU time millis
16.26
UserCPU time millis testing
1.32
UserCPU time millis training
14.94