Run
8257843

Run 8257843

Task 43 (Supervised Classification) spambase Uploaded 26-10-2017 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.trees1919
mlr.classif.ranger(13)_mtry4
mlr.classif.ranger(13)_min.node.size1
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.164584362902679
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
0.9827
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9393
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8723
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3319.2827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1509
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
0.9398
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9396
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9396
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3159
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4662
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1275.969
UserCPU time millis
180.772
UserCPU time millis testing
14.023
UserCPU time millis training
166.749