Run
8781560

Run 8781560

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.trees997
mlr.classif.ranger(16)_mtry31
mlr.classif.ranger(16)_min.node.size480
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.194464400992729
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
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
0.9943
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9437
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4233
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1458.508
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0684
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
0.9558
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9553
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9553
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.592
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1636
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6809
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1365.5599
UserCPU time millis
111.776
UserCPU time millis testing
2.825
UserCPU time millis training
108.951