Run
8247159

Run 8247159

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.trees1449
mlr.classif.ranger(9)_mtry35
mlr.classif.ranger(9)_min.node.size1011
mlr.classif.ranger(9)_sample.fraction0.511351046152413
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
0.9426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.879
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7489
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2482.2561
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2385
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
0.8819
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8783
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8783
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3147
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.644
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1830.9008
UserCPU time millis
29.708
UserCPU time millis testing
1.128
UserCPU time millis training
28.58