Run
9771709

Run 9771709

Task 9950 (Supervised Classification) micro-mass Uploaded 22-10-2018 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.data.StandardScaler(14)_with_meantrue
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sklearn.preprocessing._encoders.OneHotEncoder(3)_n_valuesnull
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C149.41953681938344
sklearn.svm.classes.SVC(22)_cache_size200
sklearn.svm.classes.SVC(22)_class_weightnull
sklearn.svm.classes.SVC(22)_coef00.4738818078160909
sklearn.svm.classes.SVC(22)_decision_function_shape"ovr"
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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
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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
0.7739 ± 0.0401
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5991 ± 0.015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.546 ± 0.0809
Cross-validation details (10-fold Crossvalidation)
KB relative information score
316.3584 ± 4.7237
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0427 ± 0.0076
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6792 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5727 ± 0.0756
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.5727 ± 0.0756
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.454 ± 0.0804
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2067 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9531 ± 0.0863
Cross-validation details (10-fold Crossvalidation)