OpenML
8265519

Run 8265519

Task 3917 (Supervised Classification) kc1 Uploaded 27-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees76
mlr.classif.ranger(9)_mtry14
mlr.classif.ranger(9)_min.node.size2075
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.387200643308461
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
0.4987
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7746
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-6.0362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2615
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2616
Cross-validation details (10-fold Crossvalidation)
Number of instances
2109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7147
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8454
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.622
Cross-validation details (10-fold Crossvalidation)
Recall
0.8454
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3615
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1871.8964
UserCPU time millis
0.211
UserCPU time millis testing
0.038
UserCPU time millis training
0.173