OpenML
1868171

Run 1868171

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)_cost5.67811956587294
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
0.9786
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9652
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1616.1146
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.048
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
0.9644
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9671
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3037
Cross-validation details (10-fold Crossvalidation)
Recall
0.9671
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6837
Cross-validation details (10-fold Crossvalidation)