Run
10227885

Run 10227885

Task 4278 (Supervised Classification) mnist_784 Uploaded 02-05-2019 by Adrian-Stefan Mares
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Flow

keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)Automatically created keras flow.
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_backend"tensorflow"
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer0_batch_normalization_2{"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.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer1_reshape_2{"class_name": "Reshape", "config": {"name": "reshape_2", "target_shape": [28, 28, 1], "trainable": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer2_conv2d_3{"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": 32, "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_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer3_max_pooling2d_3{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer4_conv2d_4{"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": [5, 5], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer5_max_pooling2d_4{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_4", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer6_flatten_2{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_2", "trainable": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer7_dense_3{"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_3", "trainable": true, "units": 1024, "use_bias": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer8_dropout_2{"class_name": "Dropout", "config": {"name": "dropout_2", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_layer9_dense_4{"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_4", "trainable": true, "units": 10, "use_bias": true}}
keras.engine.sequential.Sequential.6CC5F3E4D931F64D(1)_name"sequential_2"

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

0.9984 ± 0.0005
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9817 ± 0.0027
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9796 ± 0.003
Cross-validation details (10 times 10-fold Crossvalidation)
686455.468 ± 18.5174
Cross-validation details (10 times 10-fold Crossvalidation)
0.0049 ± 0.0007
Cross-validation details (10 times 10-fold Crossvalidation)
0.1799 ± 0
Cross-validation details (10 times 10-fold Crossvalidation)
700000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9817 ± 0.0026
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9817 ± 0.0027
Cross-validation details (10 times 10-fold Crossvalidation)
3.3198
Cross-validation details (10 times 10-fold Crossvalidation)
0.9817 ± 0.0027
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0271 ± 0.0037
Cross-validation details (10 times 10-fold Crossvalidation)
0.3 ± 0
Cross-validation details (10 times 10-fold Crossvalidation)
0.0541 ± 0.0039
Cross-validation details (10 times 10-fold Crossvalidation)
0.1803 ± 0.0129
Cross-validation details (10 times 10-fold Crossvalidation)