Run
9199772

Run 9199772

Task 167140 (Supervised Classification) dna 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
0.9869 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9391 ± 0.0159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9014 ± 0.0263
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2896.7152 ± 7.9257
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0415 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.41 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
3186
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9421 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9385 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.48
Cross-validation details (10-fold Crossvalidation)
Recall
0.9385 ± 0.0166
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1012 ± 0.0258
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4527 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1996 ± 0.0251
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.441 ± 0.0554
Cross-validation details (10-fold Crossvalidation)