Run
9891865

Run 9891865

Task 6 (Supervised Classification) letter Uploaded 07-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.19.1.
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Flow

sklearn.naive_bayes.MultinomialNB(3)Automatically created scikit-learn flow.
sklearn.naive_bayes.MultinomialNB(3)_alpha1.0
sklearn.naive_bayes.MultinomialNB(3)_class_priornull
sklearn.naive_bayes.MultinomialNB(3)_fit_priortrue

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)