OpenML
1868159

Run 1868159

Task 9914 (Supervised Classification) wilt Uploaded 28-03-2017 by Philipp Probst
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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)_cost2.33442145451126
mlr.classif.svm(7)_kernelpolynomial
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.

17 Evaluation measures

Area under ROC curve
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9419
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3414
Cross-validation details (10-fold Crossvalidation)
KB relative information score
606.892
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0738
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9413
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9519
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9519
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7222
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1934
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8559
Cross-validation details (10-fold Crossvalidation)