Run
8634340

Run 8634340

Task 145853 (Supervised Classification) madelon Uploaded 10-12-2017 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.trees73
mlr.classif.ranger(9)_mtry332
mlr.classif.ranger(9)_min.node.size7
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.518355527915992
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.903
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8307
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6615
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1079.8815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3154
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.831
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8308
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8308
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6308
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3662
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7325
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1731.8553
UserCPU time millis
57.788
UserCPU time millis testing
0.326
UserCPU time millis training
57.462