Run
9912145

Run 9912145

Task 4839 (Supervised Regression) plasma_retinol 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": 3, "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

Mean absolute error
152.5942 ± 18.7673
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
156.1325 ± 17.8895
Cross-validation details (10-fold Crossvalidation)
Number of instances
315
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9773 ± 0.0514
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
208.5636 ± 37.1052
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
203.5713 ± 35.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9761 ± 0.041
Cross-validation details (10-fold Crossvalidation)