OpenML
8652016

Run 8652016

Task 3 (Supervised Classification) kr-vs-kp Uploaded 14-12-2017 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.trees1975
mlr.classif.ranger(15)_mtry28
mlr.classif.ranger(15)_min.node.size82
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.454279514029622
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
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9581
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9161
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2789.5533
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0688
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9587
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9581
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9581
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1379
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1713
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3429
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1394.087
UserCPU time millis
19.43
UserCPU time millis testing
1.14
UserCPU time millis training
18.29