Run
8652054

Run 8652054

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.trees1930
mlr.classif.ranger(15)_mtry27
mlr.classif.ranger(15)_min.node.size18
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.81207985423971
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
0.9996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9906
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3106.4323
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0163
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
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9953
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0327
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0743
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1488
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1444.5053
UserCPU time millis
29.83
UserCPU time millis testing
1.44
UserCPU time millis training
28.39