Run
9294091

Run 9294091

Task 21 (Supervised Classification) car Uploaded 10-10-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=s klearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imp uter,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=skle arn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotenco der=sklearn.preprocessing._encoders.OneHotEncoder)),bernoullinb=sklearn.nai ve_bayes.BernoulliNB)(1)Automatically created scikit-learn flow.
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_n_jobsnull
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_remainder"passthrough"
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_sparse_threshold0.3
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))(1)_transformer_weightsnull
sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
sklearn.impute.MissingIndicator(1)_error_on_newfalse
sklearn.impute.MissingIndicator(1)_features"missing-only"
sklearn.impute.MissingIndicator(1)_missing_valuesNaN
sklearn.impute.MissingIndicator(1)_sparse"auto"
sklearn.preprocessing.imputation.Imputer(29)_axis0
sklearn.preprocessing.imputation.Imputer(29)_copytrue
sklearn.preprocessing.imputation.Imputer(29)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(29)_strategy"median"
sklearn.preprocessing.imputation.Imputer(29)_verbose0
sklearn.preprocessing.data.StandardScaler(14)_copytrue
sklearn.preprocessing.data.StandardScaler(14)_with_meantrue
sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)(1)_memorynull
sklearn.impute.SimpleImputer(1)_copytrue
sklearn.impute.SimpleImputer(1)_fill_value-1
sklearn.impute.SimpleImputer(1)_missing_valuesNaN
sklearn.impute.SimpleImputer(1)_strategy"constant"
sklearn.impute.SimpleImputer(1)_verbose0
sklearn.preprocessing._encoders.OneHotEncoder(3)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_categoriesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(3)_handle_unknown"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),bernoullinb=sklearn.naive_bayes.BernoulliNB)(1)_memorynull
sklearn.naive_bayes.BernoulliNB(5)_alpha0.294829358144858
sklearn.naive_bayes.BernoulliNB(5)_binarize0.0
sklearn.naive_bayes.BernoulliNB(5)_class_priornull
sklearn.naive_bayes.BernoulliNB(5)_fit_priortrue

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

0.9738 ± 0.0081
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.9550.960.9650.970.9750.980.9850.…0.99
0.8746 ± 0.0324
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.80.90.8250.850.8750.9…0.925
0.7343 ± 0.0647
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.550.60.650.70.750.80.85
1110.6906 ± 6.6365
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore095100105110115120125
0.0987 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.0850.090.0950.10.1050.110.…0.115
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.227750.2280.228250.22850.228750.2290.229250.22950.22975
1728
Per class
Cross-validation details (10-fold Crossvalidation)
0.8867 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.820.840.860.880.90.92
0.8715 ± 0.0349
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.7750.80.8250.850.8750.90.…0.925
1.2099
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore01.2099
0.8715 ± 0.0349
Per class
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.7750.80.8250.850.8750.90.…0.925
0.4311 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.3750.40.4250.450.4750.50.…0.525
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.33650.3370.33750.3380.33850.3390.…0.3395
0.2114 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.190.20.210.220.230.24
0.6253 ± 0.0361
Cross-validation details (10-fold Crossvalidation)
Created with Highcharts 5.0.7RepeatScore00.550.5750.60.6250.650.6750.7
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