OpenML
1873832

Run 1873832

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)_cost25.6394325824101
mlr.classif.svm(7)_kernellinear
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
0.6652
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0209
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-60.8865
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1814
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
0.875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8983
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.478
Cross-validation details (10-fold Crossvalidation)
Recall
0.8983
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9851
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9918
Cross-validation details (10-fold Crossvalidation)