Run
9199697

Run 9199697

Task 146825 (Supervised Classification) Fashion-MNIST 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_paper():\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(10))\n model.add(Activation('softmax'))\n \n l_rate = 1\n sgd = SGD(lr=0.08)\n model.compile(loss='categorical_crossentropy', optimizer=sgd, 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
0.9813 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8222 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8037 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57116.1735 ± 52.3119
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0504 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8236 ± 0.0056
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8233 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8233 ± 0.0102
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2799 ± 0.0112
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1562 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5208 ± 0.0118
Cross-validation details (10-fold Crossvalidation)