Run
8352010

Run 8352010

Task 43 (Supervised Classification) spambase Uploaded 31-10-2017 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.trees997
mlr.classif.ranger(13)_mtry6
mlr.classif.ranger(13)_min.node.size286
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.645544350123964
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
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
0.9753
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9305
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2900.2719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1994
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
0.9312
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9309
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9309
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2634
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.539
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1246.9147
UserCPU time millis
95.924
UserCPU time millis testing
5.702
UserCPU time millis training
90.222