Run
10154685

Run 10154685

Task 3820 (Supervised Classification) braziltourism Uploaded 06-02-2019 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
0.5812 ± 0.1162
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5646 ± 0.0852
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0458 ± 0.1348
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-215.4769 ± 11.596
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4702 ± 0.0897
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3529 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Number of instances
412
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6704 ± 0.0788
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5267 ± 0.0905
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7771
Cross-validation details (10-fold Crossvalidation)
Recall
0.5267 ± 0.0905
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.3324 ± 0.2457
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4196 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6773 ± 0.0673
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.6139 ± 0.1513
Cross-validation details (10-fold Crossvalidation)