Run
9665376

Run 9665376

Task 9980 (Supervised Classification) climate-model-simulation-crashes Uploaded 20-10-2018 by Scikit-learn Bot
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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,svc=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
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sklearn.preprocessing.imputation.Imputer(29)_copytrue
sklearn.preprocessing.imputation.Imputer(29)_missing_values"NaN"
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sklearn.preprocessing.imputation.Imputer(29)_verbose0
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sklearn.preprocessing.data.StandardScaler(14)_with_meantrue
sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
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sklearn.impute.SimpleImputer(1)_fill_value-1
sklearn.impute.SimpleImputer(1)_missing_valuesNaN
sklearn.impute.SimpleImputer(1)_strategy"constant"
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sklearn.preprocessing._encoders.OneHotEncoder(3)_categorical_featuresnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_categoriesnull
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sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C45.41975518134405
sklearn.svm.classes.SVC(22)_cache_size200
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sklearn.svm.classes.SVC(22)_coef0-0.9354895409845245
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sklearn.svm.classes.SVC(22)_degree5
sklearn.svm.classes.SVC(22)_gamma0.0013735607925047326
sklearn.svm.classes.SVC(22)_kernel"poly"
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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
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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,svc=sklearn.svm.classes.SVC)(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

Area under ROC curve
0.497 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8713 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0105 ± 0.0181
Cross-validation details (10-fold Crossvalidation)
KB relative information score
112.0137 ± 5.6281
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0907 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1571 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8365 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9093 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4254
Cross-validation details (10-fold Crossvalidation)
Recall
0.9093 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5775 ± 0.0706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3012 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0791 ± 0.0761
Cross-validation details (10-fold Crossvalidation)