Run
4654397

Run 4654397

Task 145839 (Supervised Classification) climate-model-simulation-crashes Uploaded 07-07-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees138
mlr.classif.ranger(13)_mtry11
mlr.classif.ranger(13)_sample.fraction0.458478975971229
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
0.8004
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8756
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0267
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-218.8457
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1461
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1571
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8593
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4254
Cross-validation details (10-fold Crossvalidation)
Recall
0.9111
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.93
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2642
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9465
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1299.8816
UserCPU time millis
2.595
UserCPU time millis testing
0.131
UserCPU time millis training
2.464