Run
10045142

Run 10045142

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 22-01-2019 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
0.6116 ± 0.0555
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.526 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0157 ± 0.0201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
28.0378 ± 1.4374
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4391 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7753 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6576 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.6576 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9693 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4657 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9786 ± 0.0104
Cross-validation details (10-fold Crossvalidation)