Run
8978108

Run 8978108

Task 34536 (Supervised Classification) Internet-Advertisements Uploaded 08-04-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C2.7600650508506823
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef0-0.47831482226577715
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree2
sklearn.svm.classes.SVC(11)_gamma0.0001371011907324573
sklearn.svm.classes.SVC(11)_kernel"poly"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state32857
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol5.983629838401118e-05
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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

0.9077 ± 0.0358
Per class
Cross-validation details (10-fold Crossvalidation)
0.9443 ± 0.024
Per class
Cross-validation details (10-fold Crossvalidation)
0.7678 ± 0.0912
Cross-validation details (10-fold Crossvalidation)
24.7805 ± 191.6193
Cross-validation details (10-fold Crossvalidation)
0.1733 ± 0.0676
Cross-validation details (10-fold Crossvalidation)
0.2409 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
3279
Per class
Cross-validation details (10-fold Crossvalidation)
0.9441 ± 0.0197
Per class
Cross-validation details (10-fold Crossvalidation)
0.9445 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
0.5848
Cross-validation details (10-fold Crossvalidation)
0.9445 ± 0.0261
Per class
Cross-validation details (10-fold Crossvalidation)
0.7192 ± 0.2815
Cross-validation details (10-fold Crossvalidation)
0.347 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.2551 ± 0.0602
Cross-validation details (10-fold Crossvalidation)
0.7353 ± 0.1743
Cross-validation details (10-fold Crossvalidation)