Run
8782629

Run 8782629

Task 145979 (Supervised Classification) spambase Uploaded 08-01-2018 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.trees947
mlr.classif.ranger(16)_mtry25
mlr.classif.ranger(16)_min.node.size1810
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.448736194963567
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
0.9281
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8377
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6565
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1633.9989
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3342
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
0.8618
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3666
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7502
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1345.5879
UserCPU time millis
6.581
UserCPU time millis testing
0.611
UserCPU time millis training
5.97