Run
9201645

Run 9201645

Task 168299 (Supervised Classification) Olivetti_Faces Uploaded 14-05-2018 by Irfan Nur Afif
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_olivettifaces():\n model = Sequential()\n model.add(Reshape((64, 64,1), input_shape=(4096,)))\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(40))\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)_epochs50
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
0.7683 ± 0.154
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.339
Per class
Kappa
0.2667 ± 0.38
Cross-validation details (10-fold Crossvalidation)
KB relative information score
83.251 ± 12.1352
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.044 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0487
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6432
Per class
Predictive accuracy
0.285 ± 0.3705
Cross-validation details (10-fold Crossvalidation)
Prior entropy
5.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.285 ± 0.3705
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9017 ± 0.1756
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1561
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1446 ± 0.0238
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.926 ± 0.1522
Cross-validation details (10-fold Crossvalidation)