OpenML
8500825

Run 8500825

Task 9971 (Supervised Classification) ilpd Uploaded 08-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees416
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size58
mlr.classif.ranger(15)_sample.fraction0.752039878023788
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.7299
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6675
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1459
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57.8718
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3515
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
0.667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7084
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.7084
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8593
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4218
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9329
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1277.6724
UserCPU time millis
0.92
UserCPU time millis testing
0.1
UserCPU time millis training
0.82