Run
8653247

Run 8653247

Task 3896 (Supervised Classification) ada_agnostic Uploaded 15-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1276
mlr.classif.ranger(15)_mtry5
mlr.classif.ranger(15)_min.node.size68
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.94133067575749
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9009
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8447
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5673
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1685.1495
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2318
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3732
Cross-validation details (10-fold Crossvalidation)
Number of instances
4562
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8468
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8529
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8085
Cross-validation details (10-fold Crossvalidation)
Recall
0.8529
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6212
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4319
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.326
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7548
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1387.9669
UserCPU time millis
31.27
UserCPU time millis testing
2.57
UserCPU time millis training
28.7