Run
8646379

Run 8646379

Task 146803 (Supervised Classification) credit-g 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.trees386
mlr.classif.ranger(16)_mtry8
mlr.classif.ranger(16)_min.node.size182
mlr.classif.ranger(16)_sample.fraction0.586921369214542
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
0.7795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6773
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2024
Cross-validation details (10-fold Crossvalidation)
KB relative information score
130.4254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.364
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
0.7195
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8664
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9069
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1208.3183
UserCPU time millis
1.086
UserCPU time millis testing
0.166
UserCPU time millis training
0.92