Run
10416390

Run 10416390

Task 3560 (Supervised Classification) analcatdata_dmft 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
0.5827 ± 0.0295
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1905 ± 0.0408
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0514 ± 0.0608
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0784 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2722 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2774 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2181 ± 0.0809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2108 ± 0.0479
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5803 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Recall
0.2108 ± 0.0479
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9812 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3724 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3709 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.996 ± 0.0075
Cross-validation details (10-fold Crossvalidation)