9204017
2506
Irfan Nur Afif
167133
Supervised Classification
area_under_roc_curve
8601
keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,AveragePooling2D,Flatten,Dense)(2)
7133563
batch_size
128
8601
build_fn
{"oml-python:serialized_object": "function", "value": "__main__.resnet20v1"}
8601
epochs
5
8601
layer0
{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"}
8601
layer1
{"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "reshape_1"}
8601
layer10
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["add_1", 0, 0, {}]]], "name": "activation_2"}
8601
layer11
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_4"}
8601
layer12
{"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}, "inbound_nodes": [[["conv2d_4", 0, 0, {}]]], "name": "batch_normalization_3"}
8601
layer13
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]], "name": "activation_3"}
8601
layer14
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "conv2d_5"}
8601
layer15
{"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": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "batch_normalization_4"}
8601
layer16
{"class_name": "Add", "config": {"name": "add_2", "trainable": true}, "inbound_nodes": [[["activation_2", 0, 0, {}], ["batch_normalization_4", 0, 0, {}]]], "name": "add_2"}
8601
layer17
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["add_2", 0, 0, {}]]], "name": "activation_4"}
8601
layer18
{"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": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_6", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_6"}
8601
layer19
{"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": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}]]], "name": "batch_normalization_5"}
8601
layer2
{"class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "name": "zero_padding2d_1", "padding": [[2, 2], [2, 2]], "trainable": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "zero_padding2d_1"}
8601
layer20
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]], "name": "activation_5"}
8601
layer21
{"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": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_7"}
8601
layer22
{"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": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_8"}
8601
layer23
{"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": true}, "inbound_nodes": [[["conv2d_7", 0, 0, {}]]], "name": "batch_normalization_6"}
8601
layer24
{"class_name": "Add", "config": {"name": "add_3", "trainable": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}], ["batch_normalization_6", 0, 0, {}]]], "name": "add_3"}
8601
layer25
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["add_3", 0, 0, {}]]], "name": "activation_6"}
8601
layer26
{"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": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_9"}
8601
layer27
{"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_7", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}]]], "name": "batch_normalization_7"}
8601
layer28
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]], "name": "activation_7"}
8601
layer29
{"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": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "conv2d_10"}
8601
layer3
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["zero_padding2d_1", 0, 0, {}]]], "name": "conv2d_1"}
8601
layer30
{"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_8", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_10", 0, 0, {}]]], "name": "batch_normalization_8"}
8601
layer31
{"class_name": "Add", "config": {"name": "add_4", "trainable": true}, "inbound_nodes": [[["activation_6", 0, 0, {}], ["batch_normalization_8", 0, 0, {}]]], "name": "add_4"}
8601
layer32
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["add_4", 0, 0, {}]]], "name": "activation_8"}
8601
layer33
{"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": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_11", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_11"}
8601
layer34
{"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_9", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "batch_normalization_9"}
8601
layer35
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_9", "trainable": true}, "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]], "name": "activation_9"}
8601
layer36
{"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": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_9", 0, 0, {}]]], "name": "conv2d_12"}
8601
layer37
{"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": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_13", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_13"}
8601
layer38
{"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_10", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}]]], "name": "batch_normalization_10"}
8601
layer39
{"class_name": "Add", "config": {"name": "add_5", "trainable": true}, "inbound_nodes": [[["conv2d_13", 0, 0, {}], ["batch_normalization_10", 0, 0, {}]]], "name": "add_5"}
8601
layer4
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "conv2d_2"}
8601
layer40
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_10", "trainable": true}, "inbound_nodes": [[["add_5", 0, 0, {}]]], "name": "activation_10"}
8601
layer41
{"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": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_10", 0, 0, {}]]], "name": "conv2d_14"}
8601
layer42
{"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_11", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "batch_normalization_11"}
8601
layer43
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_11", "trainable": true}, "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]], "name": "activation_11"}
8601
layer44
{"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": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_11", 0, 0, {}]]], "name": "conv2d_15"}
8601
layer45
{"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_12", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}]]], "name": "batch_normalization_12"}
8601
layer46
{"class_name": "Add", "config": {"name": "add_6", "trainable": true}, "inbound_nodes": [[["activation_10", 0, 0, {}], ["batch_normalization_12", 0, 0, {}]]], "name": "add_6"}
8601
layer47
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_12", "trainable": true}, "inbound_nodes": [[["add_6", 0, 0, {}]]], "name": "activation_12"}
8601
layer48
{"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "valid", "pool_size": [8, 8], "strides": [8, 8], "trainable": true}, "inbound_nodes": [[["activation_12", 0, 0, {}]]], "name": "average_pooling2d_1"}
8601
layer49
{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"}
8601
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_1", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "batch_normalization_1"}
8601
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": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"}
8601
layer6
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "activation_1"}
8601
layer7
{"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": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_3"}
8601
layer8
{"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}, "inbound_nodes": [[["conv2d_3", 0, 0, {}]]], "name": "batch_normalization_2"}
8601
layer9
{"class_name": "Add", "config": {"name": "add_1", "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}], ["batch_normalization_2", 0, 0, {}]]], "name": "add_1"}
8601
verbose
2
8601
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
19334728
description
https://api.openml.org/data/download/19334728/description.xml
-1
19334729
predictions
https://api.openml.org/data/download/19334729/predictions.arff
area_under_roc_curve
0.5575256108529558 [0.594215,0.571969,0.528985,0.577603,0.542453,0.512398,0.548521,0.571074,0.519247,0.608849]
average_cost
0
f_measure
0.21174053757072625 [0.273165,0.241584,0.170911,0.206936,0.203824,0.121687,0.18469,0.213411,0.239179,0.26063]
kappa
0.12652206947278996
kb_relative_information_score
3874.3900196231743
mean_absolute_error
0.1607914667968653
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.23019612133099912 [0.3442,0.346591,0.201065,0.168007,0.180177,0.219677,0.202227,0.192524,0.192204,0.258304]
predictive_accuracy
0.21414999999999998
prior_entropy
3.3217862890565693
recall
0.21415 [0.226434,0.18541,0.148622,0.269345,0.234617,0.084151,0.169951,0.23938,0.316543,0.262998]
relative_absolute_error
0.8933053661726035
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.3550110090105
root_relative_squared_error
1.1833829125397917
total_cost
0
area_under_roc_curve
0.7530600557811916 [0.852972,0.891816,0.751515,0.52981,0.795656,0.39964,0.718431,0.843775,0.895244,0.843003]
area_under_roc_curve
0.5403456095195202 [0.328203,0.460606,0.57365,0.503133,0.52675,0.499325,0.570063,0.733539,0.875837,0.321761]
area_under_roc_curve
0.6055854358326659 [0.445045,0.876533,0.737655,0.758142,0.532943,0.49606,0.504648,0.493991,0.386576,0.828277]
area_under_roc_curve
0.8371891585592047 [0.882337,0.882684,0.782983,0.773113,0.709947,0.829489,0.87341,0.8407,0.920393,0.876991]
area_under_roc_curve
0.5809448152955007 [0.498054,0.521931,0.499692,0.739759,0.500607,0.509119,0.815398,0.502481,0.416136,0.804734]
area_under_roc_curve
0.6526666131984068 [0.734485,0.501968,0.527381,0.750696,0.775681,0.493079,0.696508,0.418724,0.836669,0.784986]
area_under_roc_curve
0.6964987815606972 [0.824471,0.866548,0.504331,0.736885,0.781106,0.475406,0.836038,0.771733,0.334054,0.834435]
area_under_roc_curve
0.5615916404323738 [0.819836,0.500314,0.528012,0.505826,0.501452,0.47236,0.609424,0.751456,0.496939,0.427041]
area_under_roc_curve
0.6257963737546554 [0.458867,0.54355,0.492444,0.665365,0.615853,0.807814,0.704055,0.794619,0.351012,0.835259]
area_under_roc_curve
0.5862529291371414 [0.851092,0.786259,0.53171,0.70897,0.54895,0.668879,0.518184,0.410567,0.347552,0.499168]
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
f_measure
0.28222026902420316 [0.497717,0.47619,0.307134,0.21978,0.038835,0.096618,0.375149,0.122066,0.498382,0.180995]
kappa
0.16987739150233566
kappa
0.04595891281594266
kappa
0.13594334010964906
kappa
0.24751730765808252
kappa
0.11270532588065109
kappa
0.14666115192961596
kappa
0.11693624640699962
kappa
0.07388888888888889
kappa
0.1375064340356046
kappa
0.07810117756171664
kb_relative_information_score
508.7688241423626
kb_relative_information_score
222.66387065667476
kb_relative_information_score
422.1083631520797
kb_relative_information_score
593.715705217483
kb_relative_information_score
357.15157805443914
kb_relative_information_score
418.1041860168908
kb_relative_information_score
398.1997456476438
kb_relative_information_score
260.18580032765277
kb_relative_information_score
408.54829277386364
kb_relative_information_score
284.94365363394934
mean_absolute_error
0.15329511902442658
mean_absolute_error
0.17135023094355947
mean_absolute_error
0.15860838945118955
mean_absolute_error
0.15056565494330607
mean_absolute_error
0.16223632350925185
mean_absolute_error
0.1577738987810256
mean_absolute_error
0.16042991678128057
mean_absolute_error
0.1671243039029521
mean_absolute_error
0.16001120796459964
mean_absolute_error
0.1665196226670922
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]
precision
0.5662280570771695 [0.459916,0.5,0.203526,0.245399,0.666667,0.769231,0.247634,1,0.719626,0.869565]
predictive_accuracy
0.2535
predictive_accuracy
0.1425
predictive_accuracy
0.2225
predictive_accuracy
0.3235
predictive_accuracy
0.20199999999999999
predictive_accuracy
0.2325
predictive_accuracy
0.205
predictive_accuracy
0.16649999999999998
predictive_accuracy
0.2225
predictive_accuracy
0.171
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
0.2535 [0.02,0.274112,0.269608,0,0.785,0,0,0.14,0.921182,0.111111]
recall
0.1425 [0,0,0,0,0,0,0,0.42,0.990148,0]
recall
0.2225 [0,0.893401,0.591133,0.579208,0,0,0,0,0,0.161616]
recall
0.3235 [0.542289,0.454545,0.625616,0.199005,0.02,0.051546,0.773399,0.065,0.381188,0.10101]
recall
0.202 [0,0,0,0.437811,0,0,0.926108,0,0,0.646465]
recall
0.2325 [0.333333,0,0,0.472637,0.635,0,0,0,0.871287,0]
recall
0.205 [0.049751,0.121212,0,0,0.905,0,0,0.265,0,0.717172]
recall
0.1665 [0.69,0,0,0,0,0,0,0.975,0,0]
recall
0.2225 [0,0,0,0.044554,0,0.78866,0,0.53,0,0.893939]
recall
0.171 [0.63,0.111675,0,0.960396,0,0,0,0,0,0]
relative_absolute_error
0.851660405388014
relative_absolute_error
0.9519690390498886
relative_absolute_error
0.8811780495347431
relative_absolute_error
0.8364926984108517
relative_absolute_error
0.901331051119261
relative_absolute_error
0.8765393036003806
relative_absolute_error
0.8912952561773322
relative_absolute_error
0.9284881786437414
relative_absolute_error
0.8889705795314192
relative_absolute_error
0.9251292290629298
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
0.32192942750891845
root_mean_squared_error
0.3970439020915354
root_mean_squared_error
0.34429331275686115
root_mean_squared_error
0.2880923831000783
root_mean_squared_error
0.3629643868879332
root_mean_squared_error
0.3477966278890624
root_mean_squared_error
0.3459768688448827
root_mean_squared_error
0.39780921455051654
root_mean_squared_error
0.34253007385361084
root_mean_squared_error
0.38668590008140824
root_relative_squared_error
1.0731126995670892
root_relative_squared_error
1.3234976899037758
root_relative_squared_error
1.1476583734306878
root_relative_squared_error
0.9603168300875282
root_relative_squared_error
1.2098924855288495
root_relative_squared_error
1.1593328210053093
root_relative_squared_error
1.1532669013929095
root_relative_squared_error
1.3260446058272282
root_relative_squared_error
1.1417794438897102
root_relative_squared_error
1.2889671467026662
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
55291.636348999986
usercpu_time_millis
53044.14335600001
usercpu_time_millis
58450.95833299999
usercpu_time_millis
63443.35270500005
usercpu_time_millis
65912.69103800005
usercpu_time_millis
75534.31232299999
usercpu_time_millis
77808.86340599999
usercpu_time_millis
83301.22380900002
usercpu_time_millis
88376.51955499973
usercpu_time_millis
86057.91045699995
usercpu_time_millis_testing
1274.047075999988
usercpu_time_millis_testing
1891.0405900000171
usercpu_time_millis_testing
2927.4511630000006
usercpu_time_millis_testing
3353.518257000019
usercpu_time_millis_testing
4890.686216999995
usercpu_time_millis_testing
5397.138448999954
usercpu_time_millis_testing
6452.24783499998
usercpu_time_millis_testing
7659.093408999979
usercpu_time_millis_testing
8796.62558799987
usercpu_time_millis_testing
9571.993212999814
usercpu_time_millis_training
54017.589273
usercpu_time_millis_training
51153.10276599999
usercpu_time_millis_training
55523.50716999999
usercpu_time_millis_training
60089.83444800003
usercpu_time_millis_training
61022.00482100005
usercpu_time_millis_training
70137.17387400004
usercpu_time_millis_training
71356.61557100002
usercpu_time_millis_training
75642.13040000004
usercpu_time_millis_training
79579.89396699987
usercpu_time_millis_training
76485.91724400013