Run
8658790

Run 8658790

Task 145853 (Supervised Classification) madelon Uploaded 17-12-2017 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.trees1619
mlr.classif.ranger(16)_mtry356
mlr.classif.ranger(16)_min.node.size295
mlr.classif.ranger(16)_sample.fraction0.549686586810276
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
0.7881
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7176
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.44
Cross-validation details (10-fold Crossvalidation)
KB relative information score
548.9189
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4088
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
0.7279
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.72
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.72
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8176
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.439
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8779
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.1135
UserCPU time millis
354.244
UserCPU time millis testing
1.164
UserCPU time millis training
353.08