Run
8356334

Run 8356334

Task 3954 (Supervised Classification) MagicTelescope Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees508
mlr.classif.ranger(13)_mtry6
mlr.classif.ranger(13)_min.node.size3
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.135034524439834
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8708
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7127
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10875.9526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2067
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
0.8732
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9355
Cross-validation details (10-fold Crossvalidation)
Recall
0.8732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4534
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6425
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1263.6843
UserCPU time millis
591.38
UserCPU time millis testing
19.201
UserCPU time millis training
572.179