Run
9199848

Run 9199848

Task 146825 (Supervised Classification) Fashion-MNIST Uploaded 04-05-2018 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_fmnist():\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 model.compile(optimizer=\"adadelta\", loss=\"categorical_crossentropy\", metrics=[\"accuracy\"])\n return model\n"
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs20
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
0.9892 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8705 ± 0.0095
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8578 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
KB relative information score
60775.8998 ± 42.3341
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0357 ± 0.0013
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
0.8715 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8721 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8721 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1984 ± 0.0074
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1343 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4477 ± 0.0117
Cross-validation details (10-fold Crossvalidation)