Run
9199698

Run 9199698

Task 168294 (Supervised Classification) EMNIST_Balanced Uploaded 03-05-2018 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 lenet_emnist():\n model = Sequential()\n model.add(Reshape((28, 28,1), input_shape=(784,)))\n model.add(Convolution2D(6, 5, 5, border_mode='valid', input_shape = (1, 28, 28)))\n model.add(MaxPooling2D(pool_size=(2, 2)))\n model.add(Activation(\"sigmoid\"))\n\n model.add(Convolution2D(16, 5, 5, border_mode='valid'))\n model.add(MaxPooling2D(pool_size=(2, 2)))\n model.add(Activation(\"sigmoid\"))\n model.add(Dropout(0.5))\n\n model.add(Convolution2D(120, 1, 1, border_mode='valid'))\n\n model.add(Flatten())\n model.add(Dense(84))\n model.add(Activation(\"sigmoid\"))\n model.add(Dense(47))\n model.add(Activation('softmax'))\n model.compile(optimizer=\"adadelta\", loss=\"categorical_crossentropy\", metrics=[\"accuracy\"])\n return model\n"
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs8
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
0.9949 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8276 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8262 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
KB relative information score
115932.1012 ± 38.5812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0101 ± 0.0002
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
0.831 ± 0.0039
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8299 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.5546
Cross-validation details (10-fold Crossvalidation)
Recall
0.8299 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2431 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0709 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4915 ± 0.0051
Cross-validation details (10-fold Crossvalidation)