Run
10416384

Run 10416384

Task 53 (Supervised Classification) vehicle Uploaded 09-10-2019 by Eric Klingensmith
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(32)_copytrue
sklearn.preprocessing.data.StandardScaler(32)_with_meantrue
sklearn.preprocessing.data.StandardScaler(32)_with_stdtrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_memorynull
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gaussiannb", "step_name": "gaussiannb"}}]
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)(2)_verbosefalse
sklearn.naive_bayes.GaussianNB(15)_priorsnull
sklearn.naive_bayes.GaussianNB(15)_var_smoothing1e-09

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
0.348 ± 0.0354
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 ± 0.0004
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)