Run
9199715

Run 9199715

Task 37 (Supervised Classification) diabetes Uploaded 03-05-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8127 ± 0.0506
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7559 ± 0.0455
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4572 ± 0.1043
Cross-validation details (10-fold Crossvalidation)
KB relative information score
278.9883 ± 5.8068
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2876 ± 0.03
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7547 ± 0.0472
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7591 ± 0.0435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7591 ± 0.0435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6328 ± 0.0662
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4222 ± 0.0389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8859 ± 0.082
Cross-validation details (10-fold Crossvalidation)