Run
9881744

Run 9881744

Task 9979 (Supervised Classification) cardiotocography Uploaded 07-12-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Grad ientBoostingClassifier)(2)Automatically created scikit-learn flow.
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"mean"
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.ensemble.gradient_boosting.GradientBoostingClassifier(14)_criterion"friedman_mse"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_initnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_learning_rate0.021266535981944657
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_loss"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_depth2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_features0.011150324592601568
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_leaf_nodesnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_decrease0.8552116831524109
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_splitnull
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_leaf5
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_split9
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_weight_fraction_leaf0.017804144150514067
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_estimators73
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_iter_no_change687
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_presort"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_random_state6853
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_subsample0.6305011493609988
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_tol9.724855968592036e-05
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_validation_fraction0.9622937798185106
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_verbose0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_warm_startfalse
sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(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(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(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(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(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
sklearn.feature_selection.variance_threshold.VarianceThreshold(18)_threshold0.0
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(2)_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.

15 Evaluation measures

Area under ROC curve
0.903 ± 0.0272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4046 ± 0.0366
Cross-validation details (10-fold Crossvalidation)
KB relative information score
338.2419 ± 1.4284
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1563 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1679 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
2126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5395 ± 0.028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.9174
Cross-validation details (10-fold Crossvalidation)
Recall
0.5395 ± 0.028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9307 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2897 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2695 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9303 ± 0.0041
Cross-validation details (10-fold Crossvalidation)