Run
8031923

Run 8031923

Task 9952 (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.trees206
mlr.classif.ranger(9)_mtry2
mlr.classif.ranger(9)_min.node.size292
mlr.classif.ranger(9)_sample.fraction0.37757598888129
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
0.8899
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8092
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5349
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1807.3919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2762
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
0.8078
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8114
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8114
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6659
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3553
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7802
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1835.2999
UserCPU time millis
2.557
UserCPU time millis testing
0.173
UserCPU time millis training
2.384