Run
9901052

Run 9901052

Task 145804 (Supervised Classification) tic-tac-toe 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.neighbors.classification.KNeighborsClassifier(25)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(25)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(25)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(25)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(25)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(25)_p2
sklearn.neighbors.classification.KNeighborsClassifier(25)_weights"uniform"

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)