Run
8506582

Run 8506582

Task 9976 (Supervised Classification) madelon Uploaded 09-11-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees921
mlr.classif.ranger(16)_mtry6
mlr.classif.ranger(16)_min.node.size291
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.638808446750045
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.692
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6173
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2346
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.7517
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4872
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6174
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6173
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.6173
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4885
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9769
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1233.7952
UserCPU time millis
13.488
UserCPU time millis testing
0.859
UserCPU time millis training
12.629