Run
9199765

Run 9199765

Task 146824 (Supervised Classification) mfeat-pixel 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
0.9856 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9309 ± 0.0178
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9228 ± 0.02
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1854.2442 ± 3.7755
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.014 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9326 ± 0.0168
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9305 ± 0.018
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9305 ± 0.018
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0777 ± 0.0201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1174 ± 0.0147
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3914 ± 0.0491
Cross-validation details (10-fold Crossvalidation)