Run
8249552

Run 8249552

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.trees1609
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size4537
mlr.classif.ranger(9)_sample.fraction0.940779704134911
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
0.4996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4573
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0193
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4776
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
0.3672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.606
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.606
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1791.7248
UserCPU time millis
5.316
UserCPU time millis testing
0.91
UserCPU time millis training
4.406