Run
8852192

Run 8852192

Task 3899 (Supervised Classification) mozilla4 Uploaded 27-01-2018 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.trees444
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size8074
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.274503174470738
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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5394
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8387
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4412
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4412
Cross-validation details (10-fold Crossvalidation)
Number of instances
15545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4508
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6714
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9135
Cross-validation details (10-fold Crossvalidation)
Recall
0.6714
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9999
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4697
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4697
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1849.3014
UserCPU time millis
5.752
UserCPU time millis testing
0.523
UserCPU time millis training
5.229