Run
9199766

Run 9199766

Task 146825 (Supervised Classification) Fashion-MNIST 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
0.8948 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5651 ± 0.0097
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.548 ± 0.0107
Cross-validation details (10-fold Crossvalidation)
KB relative information score
40260.479 ± 71.3885
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0814 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6421 ± 0.0093
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5932 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.5932 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.452 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2848 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9494 ± 0.0113
Cross-validation details (10-fold Crossvalidation)