% MLR SVM
% Experiment data obtained by running random configurations of an SVM through mlr on 106 different classification tasks from openml.
% For information on the algorithm and metrics, see: https://mlr.mlr-org.com/index.html
%
% Features
% task_id: the task id on openml (navigate to openml/t/{task_id})
% dataset: the name of the dataset for which the task is defined
% learner: name of the mlr learner used in the experiment
% perf.mmce: mean misclassification error
% perf.logloss: log loss
% traintime: time in seconds used for training
% predicttime: time in seconds used for making predictions
% kernel: value of the kernel hyperparameter
% cost: value of the cost hyperparameter
% gamma: value of the gamma hyperparameter for the radial kernel
% tolerance: value of the tolerance hyperparameter
% shrinking: value of the shrinking hyperparameter
% 'num.impute.selected.cpo': impute strategy for missing data
% fitted: logical indicating whether the fitted values should be computed and included in the model or not
% degree: degree hyperparameter for the polynomial kernel
@relation 'mlr_svm_rng'
@attribute 'task_id' numeric
@attribute 'dataset' string
@attribute 'learner' string
@attribute 'perf.mmce' numeric
@attribute 'perf.logloss' numeric
@attribute 'traintime' numeric
@attribute 'predicttime' numeric
@attribute 'kernel' string
@attribute 'cost' numeric
@attribute 'gamma' numeric
@attribute 'tolerance' numeric
@attribute 'shrinking' string
@attribute 'num.impute.selected.cpo' string
@attribute 'fitted' string
@attribute 'degree' numeric
@data
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3893,"sylva_prior","classif.svm.radial",0.0120869044861401,0.0392302263499019,442.945,7.09200000000004,"radial",0.0400481,0.00924145,0.00104822,"TRUE","impute.hist","FALSE",?
3893,"sylva_prior","classif.svm.radial",0.061549059918153,0.231209234023688,5530.775,56.269,"radial",0.016851,32.4721,0.000600589,"FALSE","impute.hist","FALSE",?
3893,"sylva_prior","classif.svm.radial",0.0125731121148946,0.0385688176011121,392.925,6.41299999999998,"radial",0.00216896,0.00791351,0.00863407,"TRUE","impute.mean","FALSE",?
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3893,"sylva_prior","classif.svm.radial",0.061549059918153,0.231208923826326,488.825,6.81000000000006,"radial",0.00423819,13.7715,0.00439689,"TRUE","impute.hist","FALSE",?
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3893,"sylva_prior","classif.svm.radial",0.00534891128098216,0.0169912831340186,119.51,1.74399999999996,"radial",43.2393,0.0015294,0.0127645,"TRUE","impute.mean","FALSE",?
3893,"sylva_prior","classif.svm.radial",0.0589090610763648,0.218598446741502,8807.52,57.9670000000008,"radial",261.907,1.43529,0.00245591,"TRUE","impute.hist","FALSE",?
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3893,"sylva_prior","classif.svm.radial",0.0193811288703575,0.0868967042217611,382.883,6.67800000000008,"radial",0.00389285,0.113718,0.0330213,"FALSE","impute.median","FALSE",?
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