Run
8656341

Run 8656341

Task 3954 (Supervised Classification) MagicTelescope Uploaded 16-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees681
mlr.classif.ranger(15)_mtry4
mlr.classif.ranger(15)_min.node.size2
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.113379631587304
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9313
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8696
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.71
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10678.5325
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2123
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
0.8726
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8723
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.8723
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3086
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6462
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1370.9007
UserCPU time millis
112.16
UserCPU time millis testing
4.73
UserCPU time millis training
107.43