Run
8218514

Run 8218514

Task 43 (Supervised Classification) spambase Uploaded 24-10-2017 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.trees202
mlr.classif.ranger(9)_mtry39
mlr.classif.ranger(9)_min.node.size13
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.237906850432046
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
0.9753
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9334
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8601
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3453.8124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1316
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
0.9338
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9337
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9337
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2756
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2313
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4733
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
789.421
UserCPU time millis
19.139
UserCPU time millis testing
0.457
UserCPU time millis training
18.682