Run
8361824

Run 8361824

Task 9889 (Supervised Classification) wilt Uploaded 31-10-2017 by OpenML_Bot R
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees23
mlr.classif.ranger(13)_mtry2
mlr.classif.ranger(13)_min.node.size4
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.799509662203491
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9829
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9813
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.809
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2858.1143
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0293
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9812
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.982
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.982
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1153
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5105
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1334.0582
UserCPU time millis
3.144
UserCPU time millis testing
0.156
UserCPU time millis training
2.988