Run
9203738

Run 9203738

Task 168300 (Supervised Classification) UMIST_Faces_Cropped Uploaded 19-06-2018 by Irfan Nur Afif
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Flow

keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Bat chNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D ,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense) (1)Automatically created scikit-learn flow.
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.alexnet"}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_epochs3
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer0{"class_name": "Reshape", "config": {"batch_input_shape": [null, 10304], "dtype": "float32", "name": "reshape_1", "target_shape": [112, 92, 1], "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer1{"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 96, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}}
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer11{"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_3", "scale": true, "trainable": true}}
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer14{"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}}
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer6{"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_2", "scale": true, "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer7{"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 384, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer9{"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_verbose2

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.

15 Evaluation measures

Area under ROC curve
0.6322 ± 0.1173
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0484 ± 0.061
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.2948 ± 2.9715
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0901 ± 0.0047
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)
Predictive accuracy
0.1043 ± 0.0565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.282
Cross-validation details (10-fold Crossvalidation)
Recall
0.1043 ± 0.0565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9514 ± 0.0495
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
0.2834 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3022 ± 0.0607
Cross-validation details (10-fold Crossvalidation)