OpenML
2333921

Run 2333921

Task 3954 (Supervised Classification) MagicTelescope Uploaded 23-05-2017 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(31)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(31)_minsplit54
mlr.classif.rpart(31)_minbucket9
mlr.classif.rpart(31)_cp0.695893155643716
mlr.classif.rpart(31)_xval0
mlr.classif.rpart(31)_openml.seed1
mlr.classif.rpart(31)_openml.kindMersenne-Twister
mlr.classif.rpart(31)_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
0.4998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5101
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.1382
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Number of instances
19020
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4204
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6484
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.6484
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1857.5664
UserCPU time millis
0.633
UserCPU time millis testing
0.017
UserCPU time millis training
0.616