Run
10559888

Run 10559888

Task 3573 (Supervised Classification) mnist_784 Uploaded 07-05-2021 by Continuous Integration
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python Sklearn_0.22.2.post1.
Issue #Downvotes for this reason By


Flow

scikeras.wrappers.KerasClassifier(1)Implementation of the scikit-learn classifier API for Keras. Below are a list of SciKeras specific parameters. For details on other parameters, please see the see the `tf.keras.Model documentation `_.
scikeras.wrappers.KerasClassifier(1)_batch_size32
scikeras.wrappers.KerasClassifier(1)_build_fnnull
scikeras.wrappers.KerasClassifier(1)_callbacksnull
scikeras.wrappers.KerasClassifier(1)_class_weightnull
scikeras.wrappers.KerasClassifier(1)_epochs5
scikeras.wrappers.KerasClassifier(1)_loss"categorical_crossentropy"
scikeras.wrappers.KerasClassifier(1)_metricsnull
scikeras.wrappers.KerasClassifier(1)_model{"oml-python:serialized_object": "function", "value": "__main__.cnn_model_1"}
scikeras.wrappers.KerasClassifier(1)_optimizer"Adam"
scikeras.wrappers.KerasClassifier(1)_random_state39019
scikeras.wrappers.KerasClassifier(1)_run_eagerlyfalse
scikeras.wrappers.KerasClassifier(1)_shuffletrue
scikeras.wrappers.KerasClassifier(1)_validation_batch_sizenull
scikeras.wrappers.KerasClassifier(1)_validation_split0.0
scikeras.wrappers.KerasClassifier(1)_verbose1
scikeras.wrappers.KerasClassifier(1)_warm_startfalse

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.

18 Evaluation measures

Area under ROC curve
0.9999 ± 0
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9887 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9875 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9878 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0033 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9887 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9887 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9887 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198 ± 0
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0185 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0412 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1373 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9887 ± 0.001
Cross-validation details (10-fold Crossvalidation)