Run
9201689

Run 9201689

Task 3573 (Supervised Classification) mnist_784 Uploaded 22-05-2018 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_size100
keras.wrappers.scikit_learn.KerasClassifier(2)_build_fn"def create_model():\n model = Sequential()\n model.add(Reshape((28, 28, 1), input_shape=(784,)))\n\n # first set of CONV => RELU => POOL\n model.add(Conv2D(20, (5, 5), padding=\"same\",\n input_shape=(28,28,1), activation='relu'))\n model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2)))\n\n # second set of CONV => RELU => POOL\n model.add(Conv2D(50, (5, 5), padding=\"same\", activation='relu'))\n model.add(MaxPooling2D(pool_size=(2, 2), strides=(2, 2)))\n\n # set of FC => RELU layers\n model.add(Flatten())\n model.add(Dense(20))\n model.add(Activation('relu'))\n\n # softmax classifier\n model.add(Dense(10))\n model.add(Activation('softmax'))\n model.compile(loss=keras.losses.categorical_crossentropy,\n optimizer=keras.optimizers.Adadelta(),\n metrics=['accuracy'])\n return model\n"
keras.wrappers.scikit_learn.KerasClassifier(2)_epochs1
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
0.6811 ± 0.2383
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5875 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5205 ± 0.4802
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38300.7959 ± 3116.53
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0887 ± 0.0835
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1799 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
70000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6864 ± 0.0108
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.569 ± 0.4316
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3198
Cross-validation details (10-fold Crossvalidation)
Recall
0.569 ± 0.4316
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.493 ± 0.4642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2831 ± 0.1729
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9438 ± 0.5763
Cross-validation details (10-fold Crossvalidation)