Run
8792968

Run 8792968

Task 125923 (Supervised Classification) Australian Uploaded 17-01-2018 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.trees886
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size26
mlr.classif.ranger(9)_sample.fraction0.241700276220217
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
0.9364
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8622
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
351.135
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2656
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
0.8622
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8623
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8623
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5377
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3256
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6552
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1864.4376
UserCPU time millis
1.192
UserCPU time millis testing
0.165
UserCPU time millis training
1.027