Run
8256888

Run 8256888

Task 145848 (Supervised Classification) ilpd Uploaded 26-10-2017 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.trees476
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size126
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.284516085358337
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
0.7303
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5943
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38.4489
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3716
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5092
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7136
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.7136
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9082
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.424
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9377
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1902.8097
UserCPU time millis
0.436
UserCPU time millis testing
0.065
UserCPU time millis training
0.371