Run
9201639

Run 9201639

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-05-2018 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_cifar10():\n model = Sequential()\n model.add(Reshape((32, 32,3), input_shape=(3072,)))\n model.add(Convolution2D(6, 5, 5, border_mode='valid', input_shape = (3, 32, 32)))\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
0.8191 ± 0.1086
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3783 ± 0.0271
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3125 ± 0.1127
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6448.5908 ± 230.4393
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1478 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3915 ± 0.0255
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3813 ± 0.1009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3813 ± 0.1009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8211 ± 0.0658
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2723 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9076 ± 0.0349
Cross-validation details (10-fold Crossvalidation)