Run
9199713

Run 9199713

Task 31 (Supervised Classification) credit-g 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
0.7648 ± 0.0439
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7376 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3854 ± 0.0964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.3335 ± 7.441
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3108 ± 0.0242
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7428 ± 0.0398
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.734 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.734 ± 0.0443
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7398 ± 0.0575
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4402 ± 0.0306
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9606 ± 0.0667
Cross-validation details (10-fold Crossvalidation)