Run
8886961

Run 8886961

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 18-03-2018 by Blake W
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Flow

sklearn.pipeline.Pipeline(functiontransformer=sklearn.preprocessing._functi on_transformer.FunctionTransformer,kerasclassifier=keras.wrappers.scikit_le arn.KerasClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_accept_sparsefalse
sklearn.preprocessing._function_transformer.FunctionTransformer(2)_func{"oml-python:serialized_object": "function", "value": "__main__.data_processing"}
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
sklearn.pipeline.Pipeline(functiontransformer=sklearn.preprocessing._function_transformer.FunctionTransformer,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier)(2)_memorynull
keras.wrappers.scikit_learn.KerasClassifier(5)_batch_size128
keras.wrappers.scikit_learn.KerasClassifier(5)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.cnn_model_4_layers"}
keras.wrappers.scikit_learn.KerasClassifier(5)_epochs14

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
0.9557 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.707 ± 0.018
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6763 ± 0.019
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13877.5053 ± 26.6238
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0751 ± 0.003
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
0.7065 ± 0.0175
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7087 ± 0.0171
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.7087 ± 0.0171
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.417 ± 0.0168
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1993 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6644 ± 0.0154
Cross-validation details (10-fold Crossvalidation)