Run
8801690

Run 8801690

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 21-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees897
mlr.classif.ranger(9)_mtry23
mlr.classif.ranger(9)_min.node.size2
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.377719046804123
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9986
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9924
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9335
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10111.4729
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0267
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9924
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9925
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2307
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.359
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1804.0049
UserCPU time millis
140.578
UserCPU time millis testing
3.208
UserCPU time millis training
137.37