Run
10416381

Run 10416381

Task 43 (Supervised Classification) spambase Uploaded 09-10-2019 by Eric Klingensmith
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(32)_copytrue
sklearn.preprocessing.data.StandardScaler(32)_with_meantrue
sklearn.preprocessing.data.StandardScaler(32)_with_stdtrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_memorynull
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gaussiannb", "step_name": "gaussiannb"}}]
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_verbosefalse
sklearn.naive_bayes.GaussianNB(15)_priorsnull
sklearn.naive_bayes.GaussianNB(15)_var_smoothing1e-09

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
0.9367 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8205 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6439 ± 0.0304
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6104 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1825 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8584 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8187 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Recall
0.8187 ± 0.0162
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3822 ± 0.0328
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4249 ± 0.0193
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8696 ± 0.0394
Cross-validation details (10-fold Crossvalidation)