Run
9201669

Run 9201669

Task 168294 (Supervised Classification) EMNIST_Balanced Uploaded 19-05-2018 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_emnist():\n return resnet_v1(input_shape=input_shape, depth=depth,num_classes=num_classes)\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
0.9907 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8581 ± 0.01
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8557 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
118880.8248 ± 133.2482
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0081 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0416
Cross-validation details (10-fold Crossvalidation)
Number of instances
131600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8604 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8588 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.5546
Cross-validation details (10-fold Crossvalidation)
Recall
0.8588 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1945 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0649 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4499 ± 0.0195
Cross-validation details (10-fold Crossvalidation)