Run
9199757

Run 9199757

Task 146195 (Supervised Classification) connect-4 Uploaded 03-05-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imput er,estimator=sklearn.naive_bayes.GaussianNB)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(20)_axis0
sklearn.preprocessing.imputation.Imputer(20)_copytrue
sklearn.preprocessing.imputation.Imputer(20)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(20)_strategy"median"
sklearn.preprocessing.imputation.Imputer(20)_verbose0
sklearn.pipeline.Pipeline(imputation=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.naive_bayes.GaussianNB)(1)_memorynull
sklearn.naive_bayes.GaussianNB(8)_priorsnull

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
0.6162 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5763 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1127 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8272.3269 ± 34.8838
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2882 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3313 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
67557
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5621 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6088 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2185
Cross-validation details (10-fold Crossvalidation)
Recall
0.6088 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.87 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.407 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4544 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1166 ± 0.0067
Cross-validation details (10-fold Crossvalidation)