Run
7998889

Run 7998889

Task 43 (Supervised Classification) spambase Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees940
mlr.classif.ranger(9)_mtry25
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_sample.fraction0.669944802834652
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
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9457
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8861
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3619.8861
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1132
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
0.9459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9459
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9459
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.237
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4322
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1818.4874
UserCPU time millis
71.695
UserCPU time millis testing
2.045
UserCPU time millis training
69.65