Run
9756554

Run 9756554

Task 34539 (Supervised Classification) Amazon_employee_access Uploaded 21-10-2018 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.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memorynull
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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
0.7075 ± 0.0184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9484 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.489 ± 0.0338
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12377.7338 ± 111.488
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0473 ± 0.0026
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
0.9465 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9527 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3191
Cross-validation details (10-fold Crossvalidation)
Recall
0.9527 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4335 ± 0.024
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
0.2175 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9313 ± 0.0254
Cross-validation details (10-fold Crossvalidation)