Run
8781402

Run 8781402

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 08-01-2018 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.trees108
mlr.classif.ranger(16)_mtry19
mlr.classif.ranger(16)_min.node.size174
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.812617158750072
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
0.9981
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8995
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6811.9255
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0408
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9888
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.989
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.989
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3531
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4619
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.9725
UserCPU time millis
29.696
UserCPU time millis testing
0.547
UserCPU time millis training
29.149