9204018
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)
7133567
batch_size
32
8601
build_fn
{"oml-python:serialized_object": "function", "value": "__main__.resnet20v1"}
8601
epochs
3
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
19334731
description
https://api.openml.org/data/download/19334731/description.xml
-1
19334732
predictions
https://api.openml.org/data/download/19334732/predictions.arff
area_under_roc_curve
0.6735721934501018 [0.681798,0.71687,0.632783,0.656715,0.68432,0.68006,0.67119,0.650449,0.697576,0.665168]
average_cost
0
f_measure
0.30839144082387737 [0.402129,0.386235,0.251709,0.183778,0.248394,0.273238,0.362811,0.298625,0.382208,0.294466]
kappa
0.23261093844857228
kb_relative_information_score
5775.145353786174
mean_absolute_error
0.14928268110695386
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.3417764598471182 [0.390508,0.349161,0.341484,0.21457,0.203314,0.345154,0.352368,0.22206,0.574257,0.423697]
predictive_accuracy
0.30935
prior_entropy
3.3217862890565693
recall
0.30935 [0.414464,0.432118,0.199311,0.160714,0.31916,0.226123,0.373892,0.455772,0.28642,0.225644]
relative_absolute_error
0.8293662764949365
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.3204665569091185
root_relative_squared_error
1.0682334853325495
total_cost
0
area_under_roc_curve
0.8812474092908363 [0.918433,0.920522,0.827553,0.788332,0.866508,0.837417,0.912673,0.901325,0.927435,0.912482]
area_under_roc_curve
0.49986049245236325 [0.498889,0.5,0.499722,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5838460400374236 [0.392089,0.839937,0.684532,0.725886,0.722569,0.630527,0.700289,0.45257,0.383154,0.308574]
area_under_roc_curve
0.8585071122694792 [0.870094,0.891652,0.795477,0.77532,0.834828,0.820975,0.882566,0.886661,0.927865,0.899497]
area_under_roc_curve
0.8500628516215676 [0.867635,0.895402,0.777777,0.776697,0.817286,0.849873,0.865084,0.847689,0.914594,0.889929]
area_under_roc_curve
0.8578256169830479 [0.894646,0.909088,0.795017,0.806114,0.834344,0.839887,0.877245,0.854853,0.880808,0.887017]
area_under_roc_curve
0.49926995786720235 [0.498888,0.500154,0.498609,0.504419,0.504444,0.498893,0.509733,0.500278,0.486038,0.491121]
area_under_roc_curve
0.8753645492529449 [0.898219,0.908421,0.804499,0.817473,0.832539,0.855094,0.911075,0.898228,0.933178,0.89493]
area_under_roc_curve
0.8721435624028793 [0.898253,0.908356,0.841866,0.781994,0.842625,0.830312,0.900702,0.892792,0.913441,0.911081]
area_under_roc_curve
0.8422161471715377 [0.885428,0.900758,0.794924,0.777085,0.821542,0.82803,0.88983,0.812053,0.896036,0.816511]
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
0.40947603206497696 [0.536313,0.489552,0.173913,0.230986,0.43254,0.370927,0.253165,0.4832,0.607143,0.523894]
f_measure
0.36668259892813115 [0.474138,0.383764,0.369069,0.122449,0.409938,0.355191,0.485207,0.422535,0.510386,0.129032]
f_measure
0.27897404099987183 [0.44697,0.486364,0.298592,0.046729,0.081818,0.282443,0.323993,0.165939,0.233333,0.427027]
f_measure
0.43406100503182005 [0.467692,0.51711,0.302469,0.300836,0.439614,0.401786,0.503401,0.483951,0.537037,0.386503]
f_measure
0.3781602558654827 [0.548057,0.155963,0.324841,0.037559,0.376176,0.394477,0.503448,0.403712,0.584112,0.45]
f_measure
0.3224795378773152 [0.412987,0.521186,0.404682,0.121951,0.187755,0.286667,0.493913,0.307054,0.444444,0.039604]
f_measure
0.2779532652930632 [0.462312,0.406863,0.055046,0.222222,0.116071,0.127273,0.492754,0.381609,0.225806,0.288557]
kappa
0.37248560395900504
kappa
0
kappa
0.09861051060132343
kappa
0.3209481386643906
kappa
0.24392926624725128
kappa
0.38010624290225814
kappa
0
kappa
0.344058522643172
kappa
0.30251350789576936
kappa
0.26354240546156066
kb_relative_information_score
856.9479402154533
kb_relative_information_score
117.65783103440974
kb_relative_information_score
329.4481770011686
kb_relative_information_score
720.0735295033721
kb_relative_information_score
658.1913464522597
kb_relative_information_score
782.7091302116422
kb_relative_information_score
117.58444284774265
kb_relative_information_score
789.9727179488863
kb_relative_information_score
730.6206969281222
kb_relative_information_score
671.9395416429631
mean_absolute_error
0.12897078536004614
mean_absolute_error
0.17999999999999405
mean_absolute_error
0.16430269740425585
mean_absolute_error
0.1413129525337841
mean_absolute_error
0.14435278090908638
mean_absolute_error
0.1398017430172374
mean_absolute_error
0.17999999999626065
mean_absolute_error
0.1336347104733996
mean_absolute_error
0.13847443189535405
mean_absolute_error
0.14197670948011637
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
0.5242550372419751 [0.607595,0.594203,0.769231,0.267974,0.358553,0.359223,0.882353,0.355294,0.62963,0.40327]
precision
0.4759260191920955 [0.418251,0.712329,0.286885,0.340909,0.349823,0.377907,0.607407,0.294118,0.637037,0.736842]
precision
0.4572700494422036 [0.360856,0.442149,0.348684,0.384615,0.45,0.544118,0.197018,0.655172,0.736842,0.459302]
precision
0.44979921123611954 [0.612903,0.414634,0.404959,0.341772,0.425234,0.354331,0.466387,0.478049,0.504348,0.492188]
precision
0.5081062501250303 [0.463668,0.809524,0.459459,0.363636,0.5,0.319489,0.83908,0.26284,0.555556,0.503106]
precision
0.5094172607766445 [0.278947,0.447273,0.306329,0.340909,0.511111,0.40566,0.38172,0.902439,0.527027,1]
precision
0.4119294942307112 [0.347607,0.268174,0.4,0.372093,0.541667,0.538462,0.389685,0.353191,0.622222,0.284314]
predictive_accuracy
0.435
predictive_accuracy
0.1
predictive_accuracy
0.1885
predictive_accuracy
0.389
predictive_accuracy
0.32
predictive_accuracy
0.442
predictive_accuracy
0.1
predictive_accuracy
0.40950000000000003
predictive_accuracy
0.3725
predictive_accuracy
0.337
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
0.435 [0.48,0.416244,0.098039,0.20297,0.545,0.38342,0.147783,0.755,0.586207,0.747475]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1885 [0,0.862944,0,0.782178,0.17,0.07772,0,0,0,0]
recall
0.389 [0.547264,0.262626,0.517241,0.074627,0.495,0.335052,0.403941,0.75,0.425743,0.070707]
recall
0.32 [0.587065,0.540404,0.261084,0.024876,0.045,0.190722,0.91133,0.095,0.138614,0.39899]
recall
0.442 [0.378109,0.686869,0.241379,0.268657,0.455,0.463918,0.546798,0.49,0.574257,0.318182]
recall
0.1 [0,0,0,0,0,0,0,1,0,0]
recall
0.4095 [0.67,0.086294,0.251232,0.019802,0.301508,0.515464,0.359606,0.87,0.615764,0.407035]
recall
0.3725 [0.795,0.624365,0.596059,0.074257,0.115,0.221649,0.699507,0.185,0.384236,0.020202]
recall
0.337 [0.69,0.84264,0.029557,0.158416,0.065,0.072165,0.669951,0.415,0.137931,0.292929]
relative_absolute_error
0.7165219091251381
relative_absolute_error
1.0000244883557596
relative_absolute_error
0.9128138236126162
relative_absolute_error
0.7850877614147754
relative_absolute_error
0.8019760367742519
relative_absolute_error
0.7766919839923859
relative_absolute_error
1.0000201292088855
relative_absolute_error
0.7424309094090938
relative_absolute_error
0.7693192091864658
relative_absolute_error
0.7887767320300837
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
0.2655830177440009
root_mean_squared_error
0.4242640687119215
root_mean_squared_error
0.36372424683459037
root_mean_squared_error
0.27376800777275256
root_mean_squared_error
0.28989861910624454
root_mean_squared_error
0.2639343504476699
root_mean_squared_error
0.42426406682633344
root_mean_squared_error
0.27369619860010413
root_mean_squared_error
0.27993089490991463
root_mean_squared_error
0.2867683519556878
root_relative_squared_error
0.8852887769091677
root_relative_squared_error
1.4142328137807607
root_relative_squared_error
1.212428943673026
root_relative_squared_error
0.9125684704839254
root_relative_squared_error
0.9663376724894219
root_relative_squared_error
0.8797893094072861
root_relative_squared_error
1.4142266428237167
root_relative_squared_error
0.9123302188944094
root_relative_squared_error
0.9331132239628945
root_relative_squared_error
0.9559049975888189
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
104648.14934899998
usercpu_time_millis
104640.08992900005
usercpu_time_millis
109428.86798000001
usercpu_time_millis
118214.96690600013
usercpu_time_millis
124712.55433099998
usercpu_time_millis
130797.87580999994
usercpu_time_millis
136818.49473399995
usercpu_time_millis
143903.47441300013
usercpu_time_millis
155581.9037770002
usercpu_time_millis
156701.3630449999
usercpu_time_millis_testing
1910.095573999996
usercpu_time_millis_testing
2410.680982000031
usercpu_time_millis_testing
3341.874013999984
usercpu_time_millis_testing
5267.224169000087
usercpu_time_millis_testing
6237.604711000017
usercpu_time_millis_testing
6748.778847999915
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
11314.727611999842
usercpu_time_millis_training
102738.053775
usercpu_time_millis_training
102229.40894700002
usercpu_time_millis_training
106086.99396600002
usercpu_time_millis_training
112947.74273700005
usercpu_time_millis_training
118474.94961999996
usercpu_time_millis_training
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usercpu_time_millis_training
127758.28586499995
usercpu_time_millis_training
134476.48535799998
usercpu_time_millis_training
143883.53764700014
usercpu_time_millis_training
145386.63543300005