Run
8652228

Run 8652228

Task 125923 (Supervised Classification) Australian Uploaded 15-12-2017 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.trees862
mlr.classif.ranger(16)_mtry12
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.982300672889687
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
0.9191
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8495
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.696
Cross-validation details (10-fold Crossvalidation)
KB relative information score
452.3138
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1746
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8503
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8493
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.334
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6721
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1226.6682
UserCPU time millis
8.925
UserCPU time millis testing
0.467
UserCPU time millis training
8.458