OpenML
8857300

Run 8857300

Task 125923 (Supervised Classification) Australian Uploaded 30-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees799
mlr.classif.ranger(9)_mtry10
mlr.classif.ranger(9)_min.node.size60
mlr.classif.ranger(9)_sample.fraction0.509845586144365
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9341
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8656
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7307
Cross-validation details (10-fold Crossvalidation)
KB relative information score
421.5907
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2049
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
0.8721
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8652
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8652
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4148
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6255
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1746.0079
UserCPU time millis
2.031
UserCPU time millis testing
0.311
UserCPU time millis training
1.72