OpenML
1873761

Run 1873761

Task 3903 (Supervised Classification) pc3 Uploaded 29-03-2017 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)_cost10.3780777630715
mlr.classif.svm(7)_gamma128.587054233495
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
0.5846
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8661
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1235
Cross-validation details (10-fold Crossvalidation)
KB relative information score
88.7117
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1744
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1842
Cross-validation details (10-fold Crossvalidation)
Number of instances
1563
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8996
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.904
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.904
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.947
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2944
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9711
Cross-validation details (10-fold Crossvalidation)