Run
8000573

Run 8000573

Task 145979 (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.trees134
mlr.classif.ranger(9)_mtry21
mlr.classif.ranger(9)_min.node.size353
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.995138332922943
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
0.9712
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9224
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8366
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3170.2201
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1642
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
0.9231
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9228
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9228
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3438
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2533
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5184
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1854.9533
UserCPU time millis
7.491
UserCPU time millis testing
0.281
UserCPU time millis training
7.21