OpenML-CC18: pc1
Best predictive accuracy per machine-learning flow on the pc1 classification task from the OpenML-CC18 suite.
Community results for the pc1 classification task from OpenML-CC18, OpenML's curated suite of 72 classification tasks (www.openml.org/t/3918). Each target is a flow — a specific algorithm or pipeline — shown with the best predictive accuracy recorded for it on this task in OpenML's public evaluation listing, under the task's fixed estimation procedure.
Metrics
- predictive_accuracy
Targets (10)
- mlr.classif.ranger(13)
- mlr.classif.ranger(15)
- mlr.classif.ranger(16)
- mlr.classif.ranger(7)
- mlr.classif.ranger(9)
- mlr.classif.svm(6)
- mlr.classif.svm(7)
- mlr.classif.xgboost(9)
- sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,varienceth…
- sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
Published by OpenML.
No observations in this window.