Run
9204013

Run 9204013

Task 168298 (Supervised Classification) USPS Uploaded 27-06-2018 by Irfan Nur Afif
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Flow

sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.Standar dScaler,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(8)_copytrue
sklearn.preprocessing.data.StandardScaler(8)_with_meantrue
sklearn.preprocessing.data.StandardScaler(8)_with_stdtrue
sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,kerasclassifier=keras.wrappers.scikit_learn.KerasClassifier)(1)_memorynull
keras.wrappers.scikit_learn.KerasClassifier(8)_batch_size32
keras.wrappers.scikit_learn.KerasClassifier(8)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.functional_api_model"}
keras.wrappers.scikit_learn.KerasClassifier(8)_epochs1
keras.wrappers.scikit_learn.KerasClassifier(8)_verbose1

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
0.9864 ± 0.0025
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.864 ± 0.0237
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8483 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7638.495 ± 21.2881
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0491 ± 0.0058
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1785 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
9298
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8641 ± 0.0177
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8647 ± 0.0231
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2729
Cross-validation details (10-fold Crossvalidation)
Recall
0.8647 ± 0.0231
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.275 ± 0.0323
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2987 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1443 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4831 ± 0.0356
Cross-validation details (10-fold Crossvalidation)