Run
2415392

Run 2415392

Task 3 (Supervised Classification) kr-vs-kp Uploaded 17-06-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(39)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(39)_minsplit31
mlr.classif.rpart(39)_minbucket60
mlr.classif.rpart(39)_cp0.269444103119895
mlr.classif.rpart(39)_maxdepth20
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
0.6664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6233
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
676.8475
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.397
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8015
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.6605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7955
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4455
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8919
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
375.7136
UserCPU time millis
1.261
UserCPU time millis testing
0.461
UserCPU time millis training
0.8