Run
7998845

Run 7998845

Task 43 (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.trees280
mlr.classif.ranger(9)_mtry51
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.234003573097289
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
0.9771
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9372
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3520.5365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1239
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
0.9374
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9374
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9374
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2595
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2249
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4603
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.4008
UserCPU time millis
18.079
UserCPU time millis testing
0.402
UserCPU time millis training
17.677