Run
8165268

Run 8165268

Task 145839 (Supervised Classification) climate-model-simulation-crashes Uploaded 19-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees409
mlr.classif.ranger(9)_mtry17
mlr.classif.ranger(9)_min.node.size277
mlr.classif.ranger(9)_sample.fraction0.361517307208851
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.4762
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8741
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.5872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1557
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
0.8369
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9148
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4254
Cross-validation details (10-fold Crossvalidation)
Recall
0.9148
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9911
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0001
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1682.2288
UserCPU time millis
0.541
UserCPU time millis testing
0.259
UserCPU time millis training
0.282