OpenML
2471559

Run 2471559

Task 3902 (Supervised Classification) pc4 Uploaded 24-06-2017 by OpenML_Bot R
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  • AzureBot5 botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees36
mlr.classif.ranger(13)_mtry29
mlr.classif.ranger(13)_sample.fraction0.924282682244666
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9364
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8934
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.47
Cross-validation details (10-fold Crossvalidation)
KB relative information score
352.0615
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1265
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8905
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9012
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.9012
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.589
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2471
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7547
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1287.6661
UserCPU time millis
4.586
UserCPU time millis testing
0.151
UserCPU time millis training
4.435