Run
7996107

Run 7996107

Task 145857 (Supervised Classification) phoneme Uploaded 17-10-2017 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.trees89
mlr.classif.ranger(9)_mtry3
mlr.classif.ranger(9)_min.node.size3
mlr.classif.ranger(9)_sample.fraction0.301981856604107
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
0.9479
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.888
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7286
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2990.2949
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1907
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8876
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8886
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8886
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4598
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.29
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6368
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1847.3482
UserCPU time millis
3.066
UserCPU time millis testing
0.154
UserCPU time millis training
2.912