OpenML
1870752

Run 1870752

Task 3485 (Supervised Classification) scene 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)_cost352.804013521503
mlr.classif.svm(7)_gamma0.0414373550342585
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
0.8161
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8137
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2933
Cross-validation details (10-fold Crossvalidation)
KB relative information score
428.9456
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2384
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8488
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8488
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8103
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3459
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9022
Cross-validation details (10-fold Crossvalidation)