OpenML
2411709

Run 2411709

Task 31 (Supervised Classification) credit-g Uploaded 12-06-2017 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)_cost959.461802682696
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree4
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
0.7393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7013
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2583
Cross-validation details (10-fold Crossvalidation)
KB relative information score
148.0285
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3543
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.726
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.741
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.741
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8432
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9217
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1876.23
UserCPU time millis
5.599
UserCPU time millis testing
0.216
UserCPU time millis training
5.383