Run
7898066

Run 7898066

Task 145857 (Supervised Classification) phoneme Uploaded 10-09-2017 by OpenML_Bot R
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Flow

mlr.classif.svm(6)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(6)_cost0.718711462170167
mlr.classif.svm(6)_gamma125.823868667612
mlr.classif.svm(6)_openml.seed1
mlr.classif.svm(6)_openml.kindMersenne-Twister
mlr.classif.svm(6)_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
0.9033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7887
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4668
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1835.4938
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2633
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
0.8293
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8138
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8733
Cross-validation details (10-fold Crossvalidation)
Recall
0.8138
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.635
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7747
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1312.3761
UserCPU time millis
136.164
UserCPU time millis testing
0.993
UserCPU time millis training
135.171