Run
8223461

Run 8223461

Task 43 (Supervised Classification) spambase Uploaded 24-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees963
mlr.classif.ranger(9)_mtry56
mlr.classif.ranger(9)_min.node.size24
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.395128165394999
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
0.9762
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9345
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8623
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3515.1842
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1234
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
0.9349
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9348
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9348
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2585
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4679
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.916
UserCPU time millis
96.098
UserCPU time millis testing
1.444
UserCPU time millis training
94.654