Run
9199728

Run 9199728

Task 3573 (Supervised Classification) mnist_784 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
0.9301 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5162 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5077 ± 0.0085
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37394.4257 ± 55.6059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0886 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6833 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5572 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.5572 ± 0.0077
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4922 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2972 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9909 ± 0.0086
Cross-validation details (10-fold Crossvalidation)