Run
8886911

Run 8886911

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Egor Lomagin
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Flow

sklearn.pipeline.Pipeline(functiontransformer=sklearn.preprocessing._functi on_transformer.FunctionTransformer,kerasclassifier=keras.wrappers.scikit_le arn.KerasClassifier)(1)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)(1)_memorynull
keras.wrappers.scikit_learn.KerasClassifier(4)_batch_size128
keras.wrappers.scikit_learn.KerasClassifier(4)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.mnist_model_4_layers"}
keras.wrappers.scikit_learn.KerasClassifier(4)_epochs5

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
0.8714 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4566 ± 0.0198
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4055 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7992.4888 ± 32.3935
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1395 ± 0.0025
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
0.4591 ± 0.0215
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.465 ± 0.0191
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.465 ± 0.0191
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7752 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2597 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8658 ± 0.0079
Cross-validation details (10-fold Crossvalidation)