Run
9857399

Run 9857399

Task 34539 (Supervised Classification) Amazon_employee_access Uploaded 23-10-2018 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._encoders.OneHotEncoder(3)_sparsetrue
sklearn.svm.classes.SVC(22)_C426.2031883231165
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sklearn.svm.classes.SVC(22)_coef00.0
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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"
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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
0.6886 ± 0.0183
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9469 ± 0.003
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4646 ± 0.0343
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12325.14 ± 96.4629
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0474 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1091 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
32769
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9453 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9526 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3191
Cross-validation details (10-fold Crossvalidation)
Recall
0.9526 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4347 ± 0.0206
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2335 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2178 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9325 ± 0.0222
Cross-validation details (10-fold Crossvalidation)