Run
9201662

Run 9201662

Task 3573 (Supervised Classification) mnist_784 Uploaded 17-05-2018 by Irfan Nur Afif
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Flow

keras.wrappers.scikit_learn.KerasClassifier(2)Automatically created scikit-learn flow.
keras.wrappers.scikit_learn.KerasClassifier(2)_batch_size32
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn"def resnet20v1_mnist():\n return resnet_v1(input_shape=input_shape, depth=depth,num_classes=10)\n"
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs5
keras.wrappers.scikit_learn.KerasClassifier(2)_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
0.9996 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9758 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9731 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68094.8907 ± 102.4231
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0074 ± 0.0038
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
0.976 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9758 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.9758 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0413 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0607 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2024 ± 0.0516
Cross-validation details (10-fold Crossvalidation)