Run
9912422

Run 9912422

Task 43 (Supervised Classification) spambase Uploaded 12-12-2018 by Nico Strasdat
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  • openml-python Sklearn_0.21.dev0.
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Flow

sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklear n.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVC)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(missing=sklearn.impute.SimpleImputer,scale=sklearn.preprocessing.data.StandardScaler,predict=hpo4svm.hpo.SVC)(2)_memorynull
sklearn.impute.SimpleImputer(4)_copytrue
sklearn.impute.SimpleImputer(4)_fill_valuenull
sklearn.impute.SimpleImputer(4)_missing_valuesNaN
sklearn.impute.SimpleImputer(4)_strategy"mean"
sklearn.impute.SimpleImputer(4)_verbose0
sklearn.preprocessing.data.StandardScaler(19)_copytrue
sklearn.preprocessing.data.StandardScaler(19)_with_meantrue
sklearn.preprocessing.data.StandardScaler(19)_with_stdtrue
hpo4svm.hpo.SVC(2)_options[{"kernel_type": "rbf", "lb": {"lmbda": 1e-06}, "n_cv": 5, "problem_type": "classification", "to_optimize": ["lmbda", "gamma"], "tol": 1e-06, "ub": {}, "upper_loss": "p2", "upper_smoothing": 0.5, "upper_stratified": false}]
hpo4svm.hpo.SVC(2)_params{"delta": 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.

17 Evaluation measures

Area under ROC curve
0.9337 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9394 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8727 ± 0.0249
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4007.0895 ± 11.7085
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0604 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9396 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9396 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9396 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1265 ± 0.0249
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2458 ± 0.024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.503 ± 0.0492
Cross-validation details (10-fold Crossvalidation)