Run
8000483

Run 8000483

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.trees1308
mlr.classif.ranger(9)_mtry17
mlr.classif.ranger(9)_min.node.size495
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.153192391316406
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
0.9416
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8697
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7239
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1730.3979
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3267
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
0.8837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8737
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8737
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.684
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3565
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7296
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1848.2024
UserCPU time millis
7.421
UserCPU time millis testing
0.803
UserCPU time millis training
6.618