Run
8084072

Run 8084072

Task 145848 (Supervised Classification) ilpd Uploaded 18-10-2017 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.trees1075
mlr.classif.ranger(9)_mtry7
mlr.classif.ranger(9)_min.node.size555
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.77504290654324
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
0.4913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5943
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3115
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4088
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4091
Cross-validation details (10-fold Crossvalidation)
Number of instances
583
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5092
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7136
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10-fold Crossvalidation)
Recall
0.7136
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9992
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4521
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1874.5188
UserCPU time millis
0.528
UserCPU time millis testing
0.132
UserCPU time millis training
0.396