Run
8773982

Run 8773982

Task 9980 (Supervised Classification) climate-model-simulation-crashes Uploaded 04-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees499
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_sample.fraction0.921398898935877
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.8146
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8741
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-180.7991
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1473
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
0.9376
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9429
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1362.0071
UserCPU time millis
1.872
UserCPU time millis testing
0.159
UserCPU time millis training
1.713