Run
10227852

Run 10227852

Task 3573 (Supervised Classification) mnist_784 Uploaded 26-04-2019 by Richard Isdahl
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Flow

sklearn.pipeline.Pipeline(clf=keras.wrappers.scikit_learn.KerasClassifier)( 1)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(clf=keras.wrappers.scikit_learn.KerasClassifier)(1)_memorynull
sklearn.pipeline.Pipeline(clf=keras.wrappers.scikit_learn.KerasClassifier)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "clf", "step_name": "clf"}}]
keras.wrappers.scikit_learn.KerasClassifier(9)_batch_size128
keras.wrappers.scikit_learn.KerasClassifier(9)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.create_model"}
keras.wrappers.scikit_learn.KerasClassifier(9)_epochs3
keras.wrappers.scikit_learn.KerasClassifier(9)_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
0.9998 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9847 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.983 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68826.138 ± 9.0031
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0044 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9847 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9847 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.9847 ± 0.0016
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0245 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0486 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1621 ± 0.007
Cross-validation details (10-fold Crossvalidation)