Run
9952267

Run 9952267

Task 2315 (Supervised Regression) cpu_small Uploaded 09-01-2019 by Nico Strasdat
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python Sklearn_0.21.dev0.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklear n.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVR)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(18)_copytrue
sklearn.preprocessing.data.StandardScaler(18)_with_meantrue
sklearn.preprocessing.data.StandardScaler(18)_with_stdtrue
sklearn.impute.SimpleImputer(3)_copytrue
sklearn.impute.SimpleImputer(3)_fill_valuenull
sklearn.impute.SimpleImputer(3)_missing_valuesNaN
sklearn.impute.SimpleImputer(3)_strategy"mean"
sklearn.impute.SimpleImputer(3)_verbose0
sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVR)(1)_memorynull
hpo4svm.hpo.SVR(1)_options[{"kernel_type": "rbf", "lb": {"lmbda": 1e-06}, "n_cv": 5, "problem_type": "regression", "to_optimize": ["lmbda", "gamma"], "tol": 1e-06, "ub": {}}, {"kernel_type": "rbf", "lb": {"lmbda": 1e-06}, "n_cv": 5, "problem_type": "regression", "to_optimize": ["lmbda", "gamma", "epsilon"], "tol": 1e-06, "ub": {}}]
hpo4svm.hpo.SVR(1)_params{"delta_factor": 0.1, "epsilon": "auto", "epsilon_factor": 0.1, "gamma": 0.1, "lmbda": 1.0}

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.

7 Evaluation measures

2.1435 ± 0.0749
Cross-validation details (10-fold Crossvalidation)
10.6279 ± 0.5677
Cross-validation details (10-fold Crossvalidation)
8192
Cross-validation details (10-fold Crossvalidation)
0.2017 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
18.4008 ± 1.5103
Cross-validation details (10-fold Crossvalidation)
2.9583 ± 0.1129
Cross-validation details (10-fold Crossvalidation)
0.1608 ± 0.0156
Cross-validation details (10-fold Crossvalidation)