Run
2087636

Run 2087636

Task 3 (Supervised Classification) kr-vs-kp Uploaded 27-04-2017 by OpenML_Bot R
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  • mlrRandomBot referenceV1 sciBenchV1.0
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Flow

mlr.classif.ranger(11)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(11)_num.trees2000
mlr.classif.ranger(11)_respect.unordered.factorsTRUE
mlr.classif.ranger(11)_num.threads1
mlr.classif.ranger(11)_verboseFALSE
mlr.classif.ranger(11)_openml.seed1
mlr.classif.ranger(11)_openml.kindMersenne-Twister
mlr.classif.ranger(11)_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
0.9989
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9853
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9705
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2713.3311
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0923
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
0.9853
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9853
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9853
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1849
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1386
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2775
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1630.6267
UserCPU time millis
31.65
UserCPU time millis testing
2.93
UserCPU time millis training
28.72