Run
9199719

Run 9199719

Task 53 (Supervised Classification) vehicle 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
0.7744 ± 0.0236
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4274 ± 0.0367
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2821 ± 0.0468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
294.4153 ± 2.9929
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2807 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.521 ± 0.0729
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4574 ± 0.0352
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.4574 ± 0.0352
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.749 ± 0.037
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4599 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0622 ± 0.036
Cross-validation details (10-fold Crossvalidation)