Run
8650150

Run 8650150

Task 146803 (Supervised Classification) credit-g Uploaded 13-12-2017 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.trees422
mlr.classif.ranger(15)_mtry16
mlr.classif.ranger(15)_min.node.size21
mlr.classif.ranger(15)_sample.fraction0.698515423573554
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
0.7917
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7604
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4107
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.9582
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3302
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7618
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.773
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.773
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.786
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4026
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1322.6235
UserCPU time millis
3.74
UserCPU time millis testing
0.19
UserCPU time millis training
3.55