Run
9201640

Run 9201640

Task 168298 (Supervised Classification) USPS 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_usps():\n model = Sequential()\n model.add(Reshape((16, 16,1), input_shape=(256,)))\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(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
0.992 ± 0.002
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9003 ± 0.015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8894 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8000.599 ± 15.2084
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0396 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1785 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
9298
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9018 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9014 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2729
Cross-validation details (10-fold Crossvalidation)
Recall
0.9014 ± 0.0146
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2217 ± 0.027
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2987 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1266 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4238 ± 0.0265
Cross-validation details (10-fold Crossvalidation)