Run
8088558

Run 8088558

Task 145979 (Supervised Classification) spambase Uploaded 18-10-2017 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.trees2
mlr.classif.ranger(9)_mtry14
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_sample.fraction0.949818132026121
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
0.9447
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8014
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3590.4623
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1032
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
0.9103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.216
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2666
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5456
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1802.471
UserCPU time millis
0.541
UserCPU time millis testing
0.045
UserCPU time millis training
0.496