Run
9203965

Run 9203965

Task 168298 (Supervised Classification) USPS Uploaded 26-06-2018 by Irfan Nur Afif
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keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Con v2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)Automatically created scikit-learn flow.
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_batch_size1000
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.create_model"}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_epochs1
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer0{"class_name": "Reshape", "config": {"batch_input_shape": [null, 256], "dtype": "float32", "name": "reshape_133", "target_shape": [16, 16, 1], "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer1{"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "batch_input_shape": [null, 28, 28, 1], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 20, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_265", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer2{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_265", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer3{"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": 50, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_266", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer4{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_266", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer5{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_133", "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer6{"class_name": "Dense", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_265", "trainable": true, "units": 20, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer7{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_265", "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer8{"class_name": "Dense", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_266", "trainable": true, "units": 10, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_layer9{"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_266", "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Conv2D,MaxPooling2D,Flatten,Dense,Activation,Dense,Activation)(3)_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

0.6486 ± 0.0471
Per class
Cross-validation details (10-fold Crossvalidation)
0.344
Per class
0.2934 ± 0.0946
Cross-validation details (10-fold Crossvalidation)
2973.1185 ± 80.9692
Cross-validation details (10-fold Crossvalidation)
0.1245 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
0.1785 ± 0
Cross-validation details (10-fold Crossvalidation)
9298
Per class
Cross-validation details (10-fold Crossvalidation)
0.391
Per class
0.3774 ± 0.088
Cross-validation details (10-fold Crossvalidation)
3.2729
Cross-validation details (10-fold Crossvalidation)
0.3774 ± 0.088
Per class
Cross-validation details (10-fold Crossvalidation)
0.6977 ± 0.0986
Cross-validation details (10-fold Crossvalidation)
0.2987 ± 0
Cross-validation details (10-fold Crossvalidation)
0.3529 ± 0.0259
Cross-validation details (10-fold Crossvalidation)
1.1812 ± 0.0866
Cross-validation details (10-fold Crossvalidation)