Run
9199732

Run 9199732

Task 3913 (Supervised Classification) kc2 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
0.832 ± 0.0942
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8213 ± 0.0498
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4126 ± 0.1612
Cross-validation details (10-fold Crossvalidation)
KB relative information score
220.5913 ± 7.6066
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1617 ± 0.0444
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3266 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Number of instances
522
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8241 ± 0.0596
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8391 ± 0.0431
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.734
Cross-validation details (10-fold Crossvalidation)
Recall
0.8391 ± 0.0431
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.495 ± 0.1329
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4037 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4002 ± 0.0572
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9912 ± 0.1355
Cross-validation details (10-fold Crossvalidation)