Run
7965834

Run 7965834

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.trees664
mlr.classif.ranger(9)_mtry21
mlr.classif.ranger(9)_min.node.size5
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.747030298854224
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
0.9844
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9506
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8963
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3728.9163
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1002
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
0.9506
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2098
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4124
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1858.0974
UserCPU time millis
52.741
UserCPU time millis testing
1.586
UserCPU time millis training
51.155