Run
9201674

Run 9201674

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_size128
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn"def squeezenet_emnist():\n input_layer = Input(shape=(784,), name=\"input\")\n reshape_layer=Reshape((28, 28,1))(input_layer)\n conv1 = Convolution2D(96, 3, 3, activation='relu', init='glorot_uniform',subsample=(2,2),border_mode='valid')(reshape_layer)\n maxpool1 = MaxPooling2D(pool_size=(2,2))(conv1)\n fire2_squeeze = Convolution2D(16, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(maxpool1)\n fire2_expand1 = Convolution2D(64, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(fire2_squeeze)\n fire2_expand2 = Convolution2D(64, 3, 3, activation='relu', init='glorot_uniform',border_mode='same')(fire2_squeeze)\n merge1 = merge(inputs=[fire2_expand1, fire2_expand2], mode=\"concat\", concat_axis=1)\n fire2 = Activation(\"linear\")(merge1)\n fire3_squeeze = Convolution2D(16, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(fire2)\n fire3_expand1 = Convolution2D(64, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(fire3_squeeze)\n fire3_expand2 = Convolution2D(64, 3, 3, activation='relu', init='glorot_uniform',border_mode='same')(fire3_squeeze)\n merge2 = merge(inputs=[fire3_expand1, fire3_expand2], mode=\"concat\", concat_axis=1)\n fire3 = Activation(\"linear\")(merge2)\n fire4_squeeze = Convolution2D(32, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(fire3)\n fire4_expand1 = Convolution2D(128, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(fire4_squeeze)\n fire4_expand2 = Convolution2D(128, 3, 3, activation='relu', init='glorot_uniform',border_mode='same')(fire4_squeeze)\n merge3 = merge(inputs=[fire4_expand1, fire4_expand2], mode=\"concat\", concat_axis=1)\n fire4 = Activation(\"linear\")(merge3)\n maxpool4 = MaxPooling2D((2,2))(fire4)\n fire5_squeeze = Convolution2D(32, 1, 1, activation='relu', init='glorot_uniform',border_mode='same')(maxpool4)\n fire5_expand1 = Convolution2D(128, 1, 1, activation='relu', init='glorot_uniform',"
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs3
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
0.9946 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8181 ± 0.0407
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8148 ± 0.0396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
114834.8728 ± 396.2418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0101 ± 0.0022
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
0.82 ± 0.0278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8187 ± 0.0388
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.5546
Cross-validation details (10-fold Crossvalidation)
Recall
0.8187 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2427 ± 0.0529
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0738 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5114 ± 0.0521
Cross-validation details (10-fold Crossvalidation)