Run
8249470

Run 8249470

Task 43 (Supervised Classification) spambase Uploaded 25-10-2017 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.trees8
mlr.classif.ranger(9)_mtry36
mlr.classif.ranger(9)_min.node.size30
mlr.classif.ranger(9)_sample.fraction0.495762648340315
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
0.9742
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9345
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8624
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3511.1642
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1231
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
0.9349
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9348
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9348
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2577
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2328
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4764
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1816.7554
UserCPU time millis
1.061
UserCPU time millis testing
0.052
UserCPU time millis training
1.009