Run
10416371

Run 10416371

Task 12 (Supervised Classification) mfeat-factors 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
0.9926 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9241 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9156 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9214 ± 0.016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0153 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9252 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.924 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.924 ± 0.0151
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0848 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1218 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.406 ± 0.0401
Cross-validation details (10-fold Crossvalidation)