Run
9912123

Run 9912123

Task 52948 (Supervised Regression) liver-disorders Uploaded 11-12-2018 by Nico Strasdat
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  • openml-python Sklearn_0.21.dev0.
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Flow

sklearn.pipeline.Pipeline(scale=sklearn.preprocessing.data.StandardScaler,p redict=hpo4svm.hpo.sklearn.HPOSVM)(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
hpo4svm.hpo.sklearn.HPOSVM(1)_options[{"kernel_type": "rbf", "lb": {}, "n_cv": 10, "problem_type": "lssvm", "to_optimize": ["lmbda", "gamma"], "tol": 1e-06, "ub": {}}, {"kernel_type": "multi_rbf", "lb": {}, "n_cv": 10, "problem_type": "lssvm", "to_optimize": ["lmbda", "gamma"], "tol": 1e-06, "ub": {}}]
hpo4svm.hpo.sklearn.HPOSVM(1)_params{"gamma": 0.1, "lmbda": 1.0}
sklearn.pipeline.Pipeline(scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.sklearn.HPOSVM)(1)_memorynull

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

2.4344 ± 0.2825
Cross-validation details (10-fold Crossvalidation)
2.623 ± 0.3396
Cross-validation details (10-fold Crossvalidation)
345
Cross-validation details (10-fold Crossvalidation)
0.9281 ± 0.0797
Cross-validation details (10-fold Crossvalidation)
3.333 ± 0.5467
Cross-validation details (10-fold Crossvalidation)
3.1156 ± 0.3872
Cross-validation details (10-fold Crossvalidation)
0.9348 ± 0.1253
Cross-validation details (10-fold Crossvalidation)