Run
9199763

Run 9199763

Task 146821 (Supervised Classification) car 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
0.8806 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6984 ± 0.0216
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.377 ± 0.0363
Cross-validation details (10-fold Crossvalidation)
KB relative information score
602.5291 ± 6.4431
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1585 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7752 ± 0.0276
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6968 ± 0.0224
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.6968 ± 0.0224
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6924 ± 0.0369
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3378 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9992 ± 0.0381
Cross-validation details (10-fold Crossvalidation)