Run
9204149

Run 9204149

Task 168297 (Supervised Classification) SVHN Uploaded 08-07-2018 by Irfan Nur Afif
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Flow

keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,Ma xPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization ,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout ,Dense,Dropout,Dense)(1)Automatically created scikit-learn flow.
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_batch_size32
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_build_fn{"oml-python:serialized_object": "function", "value": "__main__.vggnet_svhn_emnist_5_32_False"}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_epochs5
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer0{"class_name": "Reshape", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "reshape_2", "target_shape": [32, 32, 3], "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer1{"class_name": "Lambda", "config": {"arguments": {}, "function": ["4wEAAAAAAAAAAQAAAAgAAABDAAAAc2wAAABkAXwAZABkAIUCZABkAIUCZABkAIUCZABkAoUCZgQZ\nABQAZAN8AGQAZACFAmQAZACFAmQAZACFAmQCZASFAmYEGQAUABcAZAV8AGQAZACFAmQAZACFAmQA\nZACFAmQGZACFAmYEGQAUABcAUwApB05n4XoUrkfhyj/pAQAAAGcK16NwPQrnP+kCAAAAZ+xRuB6F\n67E/6f////+pACkB2gF4cgQAAAByBAAAAPoePGlweXRob24taW5wdXQtNC0yYTgyNTQ2YTcyMjc+\n2hRjb252ZXJ0X2NvbG9yX3RvX3JnYiQAAABzAgAAAAAC\n", null, null], "function_type": "lambda", "name": "lambda_reshape", "output_shape": null, "output_shape_type": "raw", "trainable": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer10{"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_12", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer11{"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_13", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer12{"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_14", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer13{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_6", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer14{"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_6", "scale": true, "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer15{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_2", "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer16{"class_name": "Dense", "config": {"activation": "relu", "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_4", "trainable": true, "units": 4096, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer17{"class_name": "Dropout", "config": {"name": "dropout_3", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer18{"class_name": "Dense", "config": {"activation": "relu", "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_5", "trainable": true, "units": 4096, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer19{"class_name": "Dropout", "config": {"name": "dropout_4", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer2{"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": 64, "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_8", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer20{"class_name": "Dense", "config": {"activation": "softmax", "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_6", "trainable": true, "units": 10, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_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": 64, "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_9", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer4{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_4", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer5{"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_4", "scale": true, "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer6{"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": 128, "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_10", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,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": 128, "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_11", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer8{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_5", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)(1)_layer9{"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_5", "scale": true, "trainable": false}}
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,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.

17 Evaluation measures

Area under ROC curve
0.8691 ± 0.0032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4832 ± 0.0258
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4134 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41096.9997 ± 90.4124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1224 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1769 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
99289
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6384 ± 0.0172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4962 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2216
Cross-validation details (10-fold Crossvalidation)
Recall
0.4962 ± 0.0261
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6917 ± 0.0159
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2535 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8523 ± 0.0117
Cross-validation details (10-fold Crossvalidation)