OpenML
1867901

Run 1867901

Task 9970 (Supervised Classification) hill-valley Uploaded 28-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.103154273667577
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
0.555
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3783
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0297
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4.2988
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4986
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
1212
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6223
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5149
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5149
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9973
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4993
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9986
Cross-validation details (10-fold Crossvalidation)