Run
9918459

Run 9918459

Task 6 (Supervised Classification) letter Uploaded 19-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.naive_bayes.MultinomialNB)(1)Automatically created scikit-learn flow.
sklearn.naive_bayes.MultinomialNB(4)_alpha1.0
sklearn.naive_bayes.MultinomialNB(4)_class_priornull
sklearn.naive_bayes.MultinomialNB(4)_fit_priortrue
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.naive_bayes.MultinomialNB)(1)_memorynull

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
0.9294 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5398 ± 0.009
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5325 ± 0.0095
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11138.1634 ± 8.3585
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0493 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5551 ± 0.0103
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5506 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.5506 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6665 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1533 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7973 ± 0.0035
Cross-validation details (10-fold Crossvalidation)