Run
8237258

Run 8237258

Task 43 (Supervised Classification) spambase Uploaded 25-10-2017 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.trees186
mlr.classif.ranger(9)_mtry8
mlr.classif.ranger(9)_min.node.size7
mlr.classif.ranger(9)_sample.fraction0.307388417166658
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
0.983
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9435
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8815
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3442.5979
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1356
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
0.9437
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9437
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9437
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.284
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2197
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4496
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1757.3531
UserCPU time millis
5.316
UserCPU time millis testing
0.361
UserCPU time millis training
4.955