Run
8647150

Run 8647150

Task 145853 (Supervised Classification) madelon Uploaded 12-12-2017 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.trees586
mlr.classif.ranger(16)_mtry94
mlr.classif.ranger(16)_min.node.size16
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.451007866533473
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
0.891
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8148
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.63
Cross-validation details (10-fold Crossvalidation)
KB relative information score
785.5992
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3719
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
0.8164
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.815
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7438
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3985
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.797
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.5175
UserCPU time millis
250.058
UserCPU time millis testing
1.715
UserCPU time millis training
248.343