OpenML
2333870

Run 2333870

Task 3954 (Supervised Classification) MagicTelescope Uploaded 23-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.rpart(31)Learner mlr.classif.rpart from package(s) rpart.
mlr.classif.rpart(31)_minsplit29
mlr.classif.rpart(31)_minbucket11
mlr.classif.rpart(31)_cp0.207431103102863
mlr.classif.rpart(31)_maxdepth29
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
0.7221
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3911.0495
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3698
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
0.7427
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7289
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.7289
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4307
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.902
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.9121
UserCPU time millis
0.706
UserCPU time millis testing
0.018
UserCPU time millis training
0.688