Run
2420237

Run 2420237

Task 3493 (Supervised Classification) monks-problems-2 Uploaded 21-06-2017 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)_minsplit4
mlr.classif.rpart(39)_minbucket48
mlr.classif.rpart(39)_cp0.741092981537804
mlr.classif.rpart(39)_maxdepth22
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
0.491
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1232
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4506
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.432
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6572
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.6572
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9997
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
377.0291
UserCPU time millis
0.963
UserCPU time millis testing
0.435
UserCPU time millis training
0.528