Run
8770770

Run 8770770

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 02-01-2018 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.trees72
mlr.classif.ranger(16)_mtry3
mlr.classif.ranger(16)_min.node.size374
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.665430042613298
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
0.9959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9177
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1119
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2361.7634
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0756
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
0.9435
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9422
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6538
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1668
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.694
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.3429
UserCPU time millis
9.627
UserCPU time millis testing
0.639
UserCPU time millis training
8.988