Run
8652239

Run 8652239

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.trees508
mlr.classif.ranger(16)_mtry7
mlr.classif.ranger(16)_min.node.size1
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.10684900584165
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
0.9398
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.719
Cross-validation details (10-fold Crossvalidation)
KB relative information score
405.2338
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2213
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
0.8614
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.448
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3085
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6207
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1225.8746
UserCPU time millis
1.044
UserCPU time millis testing
0.148
UserCPU time millis training
0.896