Run
2416374

Run 2416374

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)_minsplit38
mlr.classif.rpart(39)_minbucket54
mlr.classif.rpart(39)_cp0.784962150733918
mlr.classif.rpart(39)_maxdepth1
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
0.4991
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4573
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4775
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
380.2825
UserCPU time millis
1.853
UserCPU time millis testing
0.171
UserCPU time millis training
1.682