Run
10045153

Run 10045153

Task 145804 (Supervised Classification) tic-tac-toe Uploaded 23-01-2019 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.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(32)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(32)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(32)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_jobsnull
sklearn.neighbors.classification.KNeighborsClassifier(32)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(32)_p2
sklearn.neighbors.classification.KNeighborsClassifier(32)_weights"uniform"
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.neighbors.classification.KNeighborsClassifier)(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
0.7891 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8246 ± 0.0393
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6035 ± 0.0887
Cross-validation details (10-fold Crossvalidation)
KB relative information score
451.0615 ± 5.8453
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2451 ± 0.0254
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
0.8414 ± 0.036
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.834 ± 0.0349
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.834 ± 0.0349
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.541 ± 0.0556
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
0.3902 ± 0.0304
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8199 ± 0.0629
Cross-validation details (10-fold Crossvalidation)