Run
8885776

Run 8885776

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 15-03-2018 by Varsha K
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Flow

sklearn.pipeline.Pipeline(rescale=sklearn.preprocessing.data.MinMaxScaler,n n=keras.wrappers.scikit_learn.KerasClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.pipeline.Pipeline(rescale=sklearn.preprocessing.data.MinMaxScaler,nn=keras.wrappers.scikit_learn.KerasClassifier)(1)_memorynull
keras.wrappers.scikit_learn.KerasClassifier(3)_batch_size128
keras.wrappers.scikit_learn.KerasClassifier(3)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.model"}
keras.wrappers.scikit_learn.KerasClassifier(3)_nb_epoch10
keras.wrappers.scikit_learn.KerasClassifier(3)_validation_split0.2

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
0.7559 ± 0.0101
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2932 ± 0.0289
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2295 ± 0.0254
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5370.3634 ± 25.262
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1547 ± 0.0016
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
0.3042 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3066 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3066 ± 0.023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8595 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2891 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9637 ± 0.0227
Cross-validation details (10-fold Crossvalidation)