OpenML
2362302

Run 2362302

Task 145857 (Supervised Classification) phoneme Uploaded 30-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost200.105179265204
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree2
mlr.classif.svm(7)_openml.seed1
mlr.classif.svm(7)_openml.kindMersenne-Twister
mlr.classif.svm(7)_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
0.8278
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7261
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3104
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1265.0194
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3167
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
0.7328
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.7507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7637
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8739
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1842.0729
UserCPU time millis
148.67
UserCPU time millis testing
0.248
UserCPU time millis training
148.422