Run
9201643

Run 9201643

Task 168300 (Supervised Classification) UMIST_Faces_Cropped 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_umistfacescropped():\n model = Sequential()\n model.add(Reshape((112, 92,1), input_shape=(10304,)))\n model.add(Convolution2D(6, 5, 5, border_mode='valid'))\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(20))\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
0.605 ± 0.1287
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1797
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1106 ± 0.3144
Cross-validation details (10-fold Crossvalidation)
KB relative information score
59.0322 ± 17.073
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0863 ± 0.0268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0947 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
575
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8774
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1809 ± 0.2886
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.282
Cross-validation details (10-fold Crossvalidation)
Recall
0.1809 ± 0.2886
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9111 ± 0.2833
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2176 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.207 ± 0.0557
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9513 ± 0.2559
Cross-validation details (10-fold Crossvalidation)