9204031
2506
Irfan Nur Afif
167133
Supervised Classification
area_under_roc_curve
8599
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Dropout,Conv2D,AveragePooling2D,Flatten,Dense)(1)
7133543
batch_size
1024
8599
build_fn
{"oml-python:serialized_object": "function", "value": "__main__.squeezenet"}
8599
epochs
3
8599
layer0
{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input", "sparse": false}, "inbound_nodes": [], "name": "input"}
8599
layer1
{"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input", 0, 0, {}]]], "name": "reshape_1"}
8599
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": 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": [1, 1], "name": "conv2d_6", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_6"}
8599
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": 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_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_7"}
8599
layer12
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_2", "trainable": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}], ["conv2d_7", 0, 0, {}]]], "name": "concatenate_2"}
8599
layer13
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["concatenate_2", 0, 0, {}]]], "name": "activation_2"}
8599
layer14
{"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": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_8"}
8599
layer15
{"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": [1, 1], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_9"}
8599
layer16
{"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": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_10"}
8599
layer17
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_3", "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}], ["conv2d_10", 0, 0, {}]]], "name": "concatenate_3"}
8599
layer18
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["concatenate_3", 0, 0, {}]]], "name": "activation_3"}
8599
layer19
{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "max_pooling2d_2"}
8599
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": 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": "valid", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "conv2d_1"}
8599
layer20
{"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": [1, 1], "name": "conv2d_11", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]], "name": "conv2d_11"}
8599
layer21
{"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": [1, 1], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_12"}
8599
layer22
{"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_13", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_13"}
8599
layer23
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_4", "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}], ["conv2d_13", 0, 0, {}]]], "name": "concatenate_4"}
8599
layer24
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["concatenate_4", 0, 0, {}]]], "name": "activation_4"}
8599
layer25
{"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": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_14"}
8599
layer26
{"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": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_15"}
8599
layer27
{"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": 192, "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_16", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_16"}
8599
layer28
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_5", "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}], ["conv2d_16", 0, 0, {}]]], "name": "concatenate_5"}
8599
layer29
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["concatenate_5", 0, 0, {}]]], "name": "activation_5"}
8599
layer3
{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "max_pooling2d_1"}
8599
layer30
{"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": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_17", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_17"}
8599
layer31
{"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": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_18", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_18"}
8599
layer32
{"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": 192, "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_19", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_19"}
8599
layer33
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_6", "trainable": true}, "inbound_nodes": [[["conv2d_18", 0, 0, {}], ["conv2d_19", 0, 0, {}]]], "name": "concatenate_6"}
8599
layer34
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["concatenate_6", 0, 0, {}]]], "name": "activation_6"}
8599
layer35
{"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": [1, 1], "name": "conv2d_20", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_20"}
8599
layer36
{"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": [1, 1], "name": "conv2d_21", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_21"}
8599
layer37
{"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_22", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_22"}
8599
layer38
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_7", "trainable": true}, "inbound_nodes": [[["conv2d_21", 0, 0, {}], ["conv2d_22", 0, 0, {}]]], "name": "concatenate_7"}
8599
layer39
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["concatenate_7", 0, 0, {}]]], "name": "activation_7"}
8599
layer4
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]], "name": "conv2d_2"}
8599
layer40
{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "max_pooling2d_3"}
8599
layer41
{"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": [1, 1], "name": "conv2d_23", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_3", 0, 0, {}]]], "name": "conv2d_23"}
8599
layer42
{"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": [1, 1], "name": "conv2d_24", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_24"}
8599
layer43
{"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_25", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_25"}
8599
layer44
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_8", "trainable": true}, "inbound_nodes": [[["conv2d_24", 0, 0, {}], ["conv2d_25", 0, 0, {}]]], "name": "concatenate_8"}
8599
layer45
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["concatenate_8", 0, 0, {}]]], "name": "activation_8"}
8599
layer46
{"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "dropout_1"}
8599
layer47
{"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 10, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_26", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["dropout_1", 0, 0, {}]]], "name": "conv2d_26"}
8599
layer48
{"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "same", "pool_size": [13, 13], "strides": [1, 1], "trainable": true}, "inbound_nodes": [[["conv2d_26", 0, 0, {}]]], "name": "average_pooling2d_1"}
8599
layer49
{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"}
8599
layer5
{"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": [1, 1], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_3"}
8599
layer50
{"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_1", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"}
8599
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": 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_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_4"}
8599
layer7
{"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_1", "trainable": true}, "inbound_nodes": [[["conv2d_3", 0, 0, {}], ["conv2d_4", 0, 0, {}]]], "name": "concatenate_1"}
8599
layer8
{"class_name": "Activation", "config": {"activation": "linear", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["concatenate_1", 0, 0, {}]]], "name": "activation_1"}
8599
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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_5"}
8599
verbose
2
8599
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
19334767
description
https://api.openml.org/data/download/19334767/description.xml
-1
19334768
predictions
https://api.openml.org/data/download/19334768/predictions.arff
area_under_roc_curve
0.5241132108229889 [0.519231,0.526676,0.52389,0.512701,0.538138,0.514127,0.533496,0.503726,0.534422,0.534397]
average_cost
0
kappa
0.009949804299392226
kb_relative_information_score
456.628063378841
mean_absolute_error
0.17961306211424188
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
predictive_accuracy
0.1097
prior_entropy
3.3217862890565693
recall
0.1097 [0.2,0,0.100886,0,0,0,0.281773,0.10045,0.261235,0.144372]
relative_absolute_error
0.9978720601140348
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.3006619823956264
root_relative_squared_error
1.0022175182933573
total_cost
0
area_under_roc_curve
0.6625934595641655 [0.675267,0.63469,0.638484,0.628842,0.726254,0.571776,0.730546,0.537515,0.735368,0.74311]
area_under_roc_curve
0.606324673449999 [0.575631,0.663504,0.509397,0.545592,0.712958,0.552149,0.717333,0.584267,0.430622,0.775969]
area_under_roc_curve
0.4954811417529227 [0.562481,0.58687,0.468056,0.527284,0.359136,0.468664,0.451977,0.451163,0.435828,0.646525]
area_under_roc_curve
0.5197897736776688 [0.508458,0.543619,0.461071,0.468725,0.682731,0.479772,0.449239,0.525442,0.708134,0.3686]
area_under_roc_curve
0.636849223910965 [0.714349,0.550106,0.620119,0.57517,0.681225,0.582459,0.713433,0.512186,0.729072,0.686471]
area_under_roc_curve
0.6335007715993829 [0.725226,0.559987,0.589174,0.584435,0.674929,0.566437,0.739544,0.547451,0.669565,0.674422]
area_under_roc_curve
0.6416943722785297 [0.552237,0.688871,0.648049,0.587181,0.70405,0.544163,0.71709,0.524574,0.677788,0.770911]
area_under_roc_curve
0.6841508721570597 [0.762131,0.659037,0.654101,0.602944,0.747301,0.584917,0.744226,0.545394,0.756332,0.781855]
area_under_roc_curve
0.6692587246077527 [0.670737,0.672385,0.71087,0.614237,0.696204,0.573315,0.726404,0.558928,0.721982,0.743716]
area_under_roc_curve
0.603054838218148 [0.447081,0.702112,0.690966,0.55315,0.715475,0.520764,0.738505,0.476103,0.464773,0.721039]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0.0011106803848949685
kappa
0
kappa
0.06369802008014479
kappa
0.03392631644224596
kappa
0.0005606543100126151
kappa
0
kb_relative_information_score
10.418814441841349
kb_relative_information_score
5.728574758112597
kb_relative_information_score
40.90458467642915
kb_relative_information_score
19.388500754972487
kb_relative_information_score
63.9450472386871
kb_relative_information_score
12.41150948495545
kb_relative_information_score
11.25299234180846
kb_relative_information_score
109.34136395939396
kb_relative_information_score
11.285931152929606
kb_relative_information_score
171.95074456971105
mean_absolute_error
0.1799651972302497
mean_absolute_error
0.1799897918562499
mean_absolute_error
0.17998982251554968
mean_absolute_error
0.17999197157995017
mean_absolute_error
0.17943666694259983
mean_absolute_error
0.1799579102363499
mean_absolute_error
0.1798014234044997
mean_absolute_error
0.17856000593815008
mean_absolute_error
0.17993262487749978
mean_absolute_error
0.17850520656132032
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999559220389702
mean_prior_absolute_error
0.17999584707646074
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.1799963768115932
mean_prior_absolute_error
0.17999615692153823
mean_prior_absolute_error
0.17999606696651574
mean_prior_absolute_error
0.17999606696651574
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [200,197,204,202,200,193,203,200,203,198]
number_of_instances
2000 [201,197,203,202,200,193,203,201,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [201,198,203,201,200,194,203,200,202,198]
number_of_instances
2000 [200,197,203,202,199,194,203,200,203,199]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
number_of_instances
2000 [200,197,203,202,200,194,203,200,203,198]
predictive_accuracy
0.1
predictive_accuracy
0.102
predictive_accuracy
0.1015
predictive_accuracy
0.1005
predictive_accuracy
0.102
predictive_accuracy
0.1
predictive_accuracy
0.1585
predictive_accuracy
0.1315
predictive_accuracy
0.102
predictive_accuracy
0.099
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
prior_entropy
3.3217862890565693
recall
0.1 [1,0,0,0,0,0,0,0,0,0]
recall
0.102 [0,0,1,0,0,0,0,0,0,0]
recall
0.1015 [0,0,0,0,0,0,1,0,0,0]
recall
0.1005 [1,0,0,0,0,0,0,0,0,0]
recall
0.102 [0,0,0.004926,0,0,0,0.004926,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,1,0,0]
recall
0.1585 [0,0,0,0,0,0,0.812808,0,0.752475,0]
recall
0.1315 [0,0,0,0,0,0,0,0.005,0.862069,0.437186]
recall
0.102 [0,0,0,0,0,0,1,0,0,0.005051]
recall
0.099 [0,0,0,0,0,0,0,0,0,1]
relative_absolute_error
0.9998311349001654
relative_absolute_error
0.9999677750572883
relative_absolute_error
0.9999665294449349
relative_absolute_error
0.9999755259982392
relative_absolute_error
0.9968904381359895
relative_absolute_error
0.9997862925025233
relative_absolute_error
0.9989169037146922
relative_absolute_error
0.9920212130750425
relative_absolute_error
0.9996475362485127
relative_absolute_error
0.9917172612139755
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.29999591621531446
root_mean_prior_squared_error
0.2999963410084025
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.2999972239097591
root_mean_prior_squared_error
0.299996857422719
root_mean_prior_squared_error
0.29999670749607354
root_mean_prior_squared_error
0.29999670749607354
root_mean_squared_error
0.29995696760771673
root_mean_squared_error
0.29999780076738314
root_mean_squared_error
0.3002881355566708
root_mean_squared_error
0.300054233217108
root_mean_squared_error
0.2996620668670017
root_mean_squared_error
0.29996038623421467
root_mean_squared_error
0.2996777009692428
root_mean_squared_error
0.2988845639458177
root_mean_squared_error
0.2999052507383393
root_mean_squared_error
0.30812733147010135
root_relative_squared_error
0.9998701695406754
root_relative_squared_error
1.0000062819257425
root_relative_squared_error
1.0009726603574145
root_relative_squared_error
1.0001900327829902
root_relative_squared_error
0.9988827995193108
root_relative_squared_error
0.9998772066119002
root_relative_squared_error
0.9989349136756932
root_relative_squared_error
0.9962923162380533
root_relative_squared_error
0.9996951407950521
root_relative_squared_error
1.0271023773623724
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
29809.295415999997
usercpu_time_millis
23223.431665999997
usercpu_time_millis
23628.278908
usercpu_time_millis
25353.828198000003
usercpu_time_millis
26499.132085000016
usercpu_time_millis
26287.375084000018
usercpu_time_millis
27073.465467999995
usercpu_time_millis
29173.364537999987
usercpu_time_millis
29071.89768500007
usercpu_time_millis
30033.953236999994
usercpu_time_millis_testing
1088.1273509999971
usercpu_time_millis_testing
957.2069660000011
usercpu_time_millis_testing
1104.153365000002
usercpu_time_millis_testing
1240.1823339999964
usercpu_time_millis_testing
1760.2832080000326
usercpu_time_millis_testing
1670.3007610000213
usercpu_time_millis_testing
2540.3234170000246
usercpu_time_millis_testing
3034.8130230000265
usercpu_time_millis_testing
3508.129213000018
usercpu_time_millis_testing
3912.9380250000168
usercpu_time_millis_training
28721.168065
usercpu_time_millis_training
22266.224699999995
usercpu_time_millis_training
22524.125543
usercpu_time_millis_training
24113.645864000006
usercpu_time_millis_training
24738.848876999982
usercpu_time_millis_training
24617.074322999997
usercpu_time_millis_training
24533.14205099997
usercpu_time_millis_training
26138.55151499996
usercpu_time_millis_training
25563.76847200005
usercpu_time_millis_training
26121.015211999977