Run
8900975

Run 8900975

Task 3573 (Supervised Classification) mnist_784 Uploaded 29-03-2018 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_size10
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn{"oml-python:serialized_object": "function", "value": {"class_name": "Reshape", "config": {"name": "reshape_88", "trainable": true, "batch_input_shape": [null, 784], "dtype": "float32", "target_shape": [28, 28, 1]}}}
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs1
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
0.5054 ± 0.1581
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1863
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0974 ± 0.3072
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10608.1816 ± 2018.5035
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1622 ± 0.0545
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
0.4786
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1898 ± 0.2758
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.1898 ± 0.2758
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9017 ± 0.3029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4024 ± 0.1139
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3416 ± 0.3796
Cross-validation details (10-fold Crossvalidation)