Run
8351640

Run 8351640

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.trees1072
mlr.classif.ranger(13)_mtry24
mlr.classif.ranger(13)_min.node.size588
mlr.classif.ranger(13)_sample.fraction0.490010763634928
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
0.9562
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8008
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2695.5686
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2176
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
0.9049
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.905
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.905
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4556
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.292
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5975
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1231.8377
UserCPU time millis
176.125
UserCPU time millis testing
6.275
UserCPU time millis training
169.85