Run
8259973

Run 8259973

Task 43 (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.trees188
mlr.classif.ranger(9)_mtry56
mlr.classif.ranger(9)_min.node.size24
mlr.classif.ranger(9)_sample.fraction0.598241724143736
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
0.9773
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9385
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8708
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3557.2019
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1189
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
0.9387
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9387
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9387
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4584
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.4707
UserCPU time millis
25.715
UserCPU time millis testing
0.317
UserCPU time millis training
25.398