Run
9199755

Run 9199755

Task 125920 (Supervised Classification) dresses-sales 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
0.5852 ± 0.0888
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5578 ± 0.0436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1012 ± 0.0867
Cross-validation details (10-fold Crossvalidation)
KB relative information score
24.8546 ± 2.6968
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4662 ± 0.0228
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.573 ± 0.0636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.59 ± 0.0392
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9816
Cross-validation details (10-fold Crossvalidation)
Recall
0.59 ± 0.0392
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9567 ± 0.0469
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5043 ± 0.0286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0218 ± 0.0579
Cross-validation details (10-fold Crossvalidation)