Run
8775731

Run 8775731

Task 125923 (Supervised Classification) Australian Uploaded 04-01-2018 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.trees1215
mlr.classif.ranger(16)_mtry1
mlr.classif.ranger(16)_min.node.size75
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.166662465315312
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9151
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8302
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6566
Cross-validation details (10-fold Crossvalidation)
KB relative information score
135.6195
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.419
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
0.8504
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8348
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8348
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8483
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4274
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8601
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1372.2536
UserCPU time millis
1.281
UserCPU time millis testing
0.247
UserCPU time millis training
1.034