Run
8885786

Run 8885786

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 15-03-2018 by Michiel Verburg
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing._function_tra nsformer.FunctionTransformer,classifier=keras.wrappers.scikit_learn.KerasCl assifier)(1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing._function_transformer.FunctionTransformer,classifier=keras.wrappers.scikit_learn.KerasClassifier)(1)_memorynull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_accept_sparsefalse
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_func{"oml-python:serialized_object": "function", "value": "__main__.custom_convert"}
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_inverse_funcnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_kw_argsnull
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_validatetrue
keras.wrappers.scikit_learn.KerasClassifier(2)_batch_size128
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.create_cnn_model_2"}
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs20
keras.wrappers.scikit_learn.KerasClassifier(2)_verbose0

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
0.9291 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6406 ± 0.0174
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5972 ± 0.0181
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12786.8034 ± 29.9327
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0776 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6462 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6375 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.6375 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4314 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2381 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7935 ± 0.0197
Cross-validation details (10-fold Crossvalidation)