Run
2416394

Run 2416394

Task 43 (Supervised Classification) spambase Uploaded 18-06-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart(39)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(39)_minsplit57
mlr.classif.rpart(39)_minbucket44
mlr.classif.rpart(39)_cp0.120768556138501
mlr.classif.rpart(39)_maxdepth24
mlr.classif.rpart(39)_xval0
mlr.classif.rpart(39)_openml.seed1
mlr.classif.rpart(39)_openml.kindMersenne-Twister
mlr.classif.rpart(39)_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
0.8016
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8078
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5951
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1941.8711
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2942
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
0.808
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8094
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8094
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.616
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3899
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.798
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
373.9629
UserCPU time millis
2.979
UserCPU time millis testing
0.249
UserCPU time millis training
2.73