Run
9199759

Run 9199759

Task 146817 (Supervised Classification) steel-plates-fault 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
0.7886 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3999 ± 0.0376
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3484 ± 0.0365
Cross-validation details (10-fold Crossvalidation)
KB relative information score
803.4919 ± 6.1711
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1609 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2223 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5346 ± 0.0791
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.459 ± 0.0307
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4138
Cross-validation details (10-fold Crossvalidation)
Recall
0.459 ± 0.0307
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7237 ± 0.0334
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3334 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3498 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0492 ± 0.0364
Cross-validation details (10-fold Crossvalidation)