Run
8664545

Run 8664545

Task 145839 (Supervised Classification) climate-model-simulation-crashes Uploaded 22-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1158
mlr.classif.ranger(9)_mtry9
mlr.classif.ranger(9)_min.node.size14
mlr.classif.ranger(9)_sample.fraction0.112367442180403
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
0.7339
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8741
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-244.0152
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1596
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
1.0159
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2709
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9703
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1870.8114
UserCPU time millis
1.299
UserCPU time millis testing
0.156
UserCPU time millis training
1.143