Run
9204480

Run 9204480

Task 31 (Supervised Classification) credit-g Uploaded 24-08-2018 by Edilson Correa Jr.
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Flow

sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,3=skle arn.preprocessing.data.StandardScaler,5=sklearn.cluster.hierarchical.Featur eAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(26)_axis0
sklearn.preprocessing.imputation.Imputer(26)_copytrue
sklearn.preprocessing.imputation.Imputer(26)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(26)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(26)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_alpha3.170846362638446e-06
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_averagetrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_class_weight"balanced"
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_eta00.09722688351233315
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_l1_ratio0.15
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_learning_rate"constant"
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_loss"squared_hinge"
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_max_iternull
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_n_iternull
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_penalty"l2"
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_random_state5078
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_tol0.00953454743007943
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(7)_warm_startfalse
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_affinity"euclidean"
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_compute_full_tree"auto"
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_connectivitynull
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_linkage"average"
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_memorynull
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_n_clusters20
sklearn.cluster.hierarchical.FeatureAgglomeration(2)_pooling_func{"oml-python:serialized_object": "function", "value": "numpy.core.fromnumeric.mean"}
sklearn.preprocessing.data.StandardScaler(13)_copytrue
sklearn.preprocessing.data.StandardScaler(13)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(13)_with_stdtrue
sklearn.pipeline.Pipeline(1=sklearn.preprocessing.imputation.Imputer,3=sklearn.preprocessing.data.StandardScaler,5=sklearn.cluster.hierarchical.FeatureAgglomeration,6=sklearn.linear_model.stochastic_gradient.SGDClassifier)(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.

17 Evaluation measures

0.7114 ± 0.0455
Per class
Cross-validation details (10-fold Crossvalidation)
0.7154 ± 0.0461
Per class
Cross-validation details (10-fold Crossvalidation)
0.375 ± 0.0851
Cross-validation details (10-fold Crossvalidation)
244.0072 ± 12.4566
Cross-validation details (10-fold Crossvalidation)
0.296 ± 0.0488
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.7512 ± 0.0367
Per class
Cross-validation details (10-fold Crossvalidation)
0.704 ± 0.0488
Cross-validation details (10-fold Crossvalidation)
0.8818
Cross-validation details (10-fold Crossvalidation)
0.704 ± 0.0488
Per class
Cross-validation details (10-fold Crossvalidation)
0.7045 ± 0.1162
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.5441 ± 0.0436
Cross-validation details (10-fold Crossvalidation)
1.1872 ± 0.0952
Cross-validation details (10-fold Crossvalidation)