Run
8592987

Run 8592987

Task 146803 (Supervised Classification) credit-g Uploaded 29-11-2017 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.trees314
mlr.classif.ranger(16)_mtry14
mlr.classif.ranger(16)_min.node.size998
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.353800745680928
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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5765
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4197
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.49
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1366.6851
UserCPU time millis
0.427
UserCPU time millis testing
0.093
UserCPU time millis training
0.334