Run
8256463

Run 8256463

Task 145979 (Supervised Classification) spambase Uploaded 26-10-2017 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.trees22
mlr.classif.ranger(9)_mtry45
mlr.classif.ranger(9)_min.node.size4170
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.568540774425492
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
0.5003
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4573
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.709
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4774
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
0.3672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.606
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.606
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1729.3645
UserCPU time millis
0.551
UserCPU time millis testing
0.059
UserCPU time millis training
0.492