9203066
2506
Irfan Nur Afif
167133
Supervised Classification
area_under_roc_curve
8573
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)(1)
7132863
epochs
3
8573
batch_size
32
8573
verbose
1
8573
build_fn
{"oml-python:serialized_object": "function", "value": "__main__.resnet20v1_cifar10"}
8573
layer0
{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input_15", "sparse": false}, "inbound_nodes": [], "name": "input_15"}
8573
layer1
{"class_name": "Reshape", "config": {"name": "reshape_15", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input_15", 0, 0, {}]]], "name": "reshape_15"}
8573
layer2
{"class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "name": "zero_padding2d_15", "padding": [[2, 2], [2, 2]], "trainable": true}, "inbound_nodes": [[["reshape_15", 0, 0, {}]]], "name": "zero_padding2d_15"}
8573
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_211", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["zero_padding2d_15", 0, 0, {}]]], "name": "conv2d_211"}
8573
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_212", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_211", 0, 0, {}]]], "name": "conv2d_212"}
8573
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_169", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_212", 0, 0, {}]]], "name": "batch_normalization_169"}
8573
layer6
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_169", "trainable": true}, "inbound_nodes": [[["batch_normalization_169", 0, 0, {}]]], "name": "activation_169"}
8573
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_213", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_169", 0, 0, {}]]], "name": "conv2d_213"}
8573
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_170", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_213", 0, 0, {}]]], "name": "batch_normalization_170"}
8573
layer9
{"class_name": "Add", "config": {"name": "add_85", "trainable": true}, "inbound_nodes": [[["conv2d_211", 0, 0, {}], ["batch_normalization_170", 0, 0, {}]]], "name": "add_85"}
8573
layer10
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_170", "trainable": true}, "inbound_nodes": [[["add_85", 0, 0, {}]]], "name": "activation_170"}
8573
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_214", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_170", 0, 0, {}]]], "name": "conv2d_214"}
8573
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_171", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_214", 0, 0, {}]]], "name": "batch_normalization_171"}
8573
layer13
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_171", "trainable": true}, "inbound_nodes": [[["batch_normalization_171", 0, 0, {}]]], "name": "activation_171"}
8573
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_215", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_171", 0, 0, {}]]], "name": "conv2d_215"}
8573
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_172", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_215", 0, 0, {}]]], "name": "batch_normalization_172"}
8573
layer16
{"class_name": "Add", "config": {"name": "add_86", "trainable": true}, "inbound_nodes": [[["activation_170", 0, 0, {}], ["batch_normalization_172", 0, 0, {}]]], "name": "add_86"}
8573
layer17
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_172", "trainable": true}, "inbound_nodes": [[["add_86", 0, 0, {}]]], "name": "activation_172"}
8573
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_216", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_172", 0, 0, {}]]], "name": "conv2d_216"}
8573
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_173", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_216", 0, 0, {}]]], "name": "batch_normalization_173"}
8573
layer20
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_173", "trainable": true}, "inbound_nodes": [[["batch_normalization_173", 0, 0, {}]]], "name": "activation_173"}
8573
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_217", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_173", 0, 0, {}]]], "name": "conv2d_217"}
8573
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_218", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_172", 0, 0, {}]]], "name": "conv2d_218"}
8573
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_174", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_217", 0, 0, {}]]], "name": "batch_normalization_174"}
8573
layer24
{"class_name": "Add", "config": {"name": "add_87", "trainable": true}, "inbound_nodes": [[["conv2d_218", 0, 0, {}], ["batch_normalization_174", 0, 0, {}]]], "name": "add_87"}
8573
layer25
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_174", "trainable": true}, "inbound_nodes": [[["add_87", 0, 0, {}]]], "name": "activation_174"}
8573
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_219", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_174", 0, 0, {}]]], "name": "conv2d_219"}
8573
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_175", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_219", 0, 0, {}]]], "name": "batch_normalization_175"}
8573
layer28
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_175", "trainable": true}, "inbound_nodes": [[["batch_normalization_175", 0, 0, {}]]], "name": "activation_175"}
8573
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_220", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_175", 0, 0, {}]]], "name": "conv2d_220"}
8573
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_176", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_220", 0, 0, {}]]], "name": "batch_normalization_176"}
8573
layer31
{"class_name": "Add", "config": {"name": "add_88", "trainable": true}, "inbound_nodes": [[["activation_174", 0, 0, {}], ["batch_normalization_176", 0, 0, {}]]], "name": "add_88"}
8573
layer32
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_176", "trainable": true}, "inbound_nodes": [[["add_88", 0, 0, {}]]], "name": "activation_176"}
8573
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_221", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_176", 0, 0, {}]]], "name": "conv2d_221"}
8573
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_177", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_221", 0, 0, {}]]], "name": "batch_normalization_177"}
8573
layer35
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_177", "trainable": true}, "inbound_nodes": [[["batch_normalization_177", 0, 0, {}]]], "name": "activation_177"}
8573
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_222", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_177", 0, 0, {}]]], "name": "conv2d_222"}
8573
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_223", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_176", 0, 0, {}]]], "name": "conv2d_223"}
8573
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_178", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_222", 0, 0, {}]]], "name": "batch_normalization_178"}
8573
layer39
{"class_name": "Add", "config": {"name": "add_89", "trainable": true}, "inbound_nodes": [[["conv2d_223", 0, 0, {}], ["batch_normalization_178", 0, 0, {}]]], "name": "add_89"}
8573
layer40
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_178", "trainable": true}, "inbound_nodes": [[["add_89", 0, 0, {}]]], "name": "activation_178"}
8573
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_224", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_178", 0, 0, {}]]], "name": "conv2d_224"}
8573
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_179", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_224", 0, 0, {}]]], "name": "batch_normalization_179"}
8573
layer43
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_179", "trainable": true}, "inbound_nodes": [[["batch_normalization_179", 0, 0, {}]]], "name": "activation_179"}
8573
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_225", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_179", 0, 0, {}]]], "name": "conv2d_225"}
8573
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_180", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_225", 0, 0, {}]]], "name": "batch_normalization_180"}
8573
layer46
{"class_name": "Add", "config": {"name": "add_90", "trainable": true}, "inbound_nodes": [[["activation_178", 0, 0, {}], ["batch_normalization_180", 0, 0, {}]]], "name": "add_90"}
8573
layer47
{"class_name": "Activation", "config": {"activation": "relu", "name": "activation_180", "trainable": true}, "inbound_nodes": [[["add_90", 0, 0, {}]]], "name": "activation_180"}
8573
layer48
{"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_15", "padding": "valid", "pool_size": [8, 8], "strides": [8, 8], "trainable": true}, "inbound_nodes": [[["activation_180", 0, 0, {}]]], "name": "average_pooling2d_15"}
8573
layer49
{"class_name": "Flatten", "config": {"name": "flatten_15", "trainable": true}, "inbound_nodes": [[["average_pooling2d_15", 0, 0, {}]]], "name": "flatten_15"}
8573
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_15", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_15", 0, 0, {}]]], "name": "dense_15"}
8573
openml-python
Sklearn_0.19.1.
40926
CIFAR_10_small
https://www.openml.org/data/download/16797612/cifar-10-small.arff
-1
19332692
description
https://api.openml.org/data/download/19332692/description.xml
-1
19332693
predictions
https://api.openml.org/data/download/19332693/predictions.arff
area_under_roc_curve
0.6772193052750723 [0.813723,0.608396,0.687056,0.626272,0.707216,0.627971,0.70229,0.622301,0.700879,0.672882]
average_cost
0
f_measure
0.2778862292362832 [0.35266,0.28657,0.232997,0.21631,0.271982,0.174014,0.350592,0.207898,0.39516,0.286098]
kappa
0.2054476280246825
kb_relative_information_score
5379.622902112252
mean_absolute_error
0.15218701011525274
mean_prior_absolute_error
0.17999608295848674
number_of_instances
20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981]
precision
0.30290310850694774 [0.43997,0.309959,0.3439,0.176916,0.244038,0.346687,0.273354,0.248094,0.342124,0.305444]
predictive_accuracy
0.2852
prior_entropy
3.3217862890565693
recall
0.2852 [0.294264,0.266464,0.176181,0.278274,0.307154,0.116159,0.48867,0.178911,0.467654,0.269056]
relative_absolute_error
0.8455017887825497
root_mean_prior_squared_error
0.299996734149702
root_mean_squared_error
0.3110030493480586
root_relative_squared_error
1.0366881167208453
total_cost
0
area_under_roc_curve
0.8050539903000857 [0.887236,0.896261,0.770451,0.744201,0.821197,0.455462,0.869958,0.81255,0.905338,0.876554]
area_under_roc_curve
0.7067594304827028 [0.862861,0.459587,0.756037,0.755085,0.790925,0.506123,0.840761,0.799661,0.426291,0.861812]
area_under_roc_curve
0.7233681186903794 [0.813785,0.345006,0.753141,0.549279,0.792389,0.515038,0.856592,0.835857,0.908777,0.84853]
area_under_roc_curve
0.5951163333767594 [0.801313,0.402684,0.588337,0.682256,0.783639,0.730943,0.669156,0.447742,0.482646,0.360907]
area_under_roc_curve
0.8738137512492453 [0.886723,0.923382,0.815456,0.787035,0.850714,0.864826,0.893084,0.900722,0.932978,0.883908]
area_under_roc_curve
0.8213499784715635 [0.857533,0.839177,0.772596,0.766866,0.818756,0.824748,0.85839,0.774092,0.876516,0.824858]
area_under_roc_curve
0.7552414199416898 [0.812231,0.838059,0.727745,0.700295,0.704694,0.748704,0.775444,0.598242,0.799637,0.848583]
area_under_roc_curve
0.8696389632552654 [0.880842,0.911963,0.826605,0.838927,0.83022,0.839304,0.882818,0.869311,0.940286,0.875365]
area_under_roc_curve
0.8489620024907875 [0.8778,0.895251,0.831268,0.76742,0.778631,0.847798,0.879462,0.850025,0.909619,0.852756]
area_under_roc_curve
0.6443893635531301 [0.8548,0.431205,0.718148,0.433868,0.777169,0.797351,0.666264,0.445008,0.869383,0.447415]
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
0.3559636261795258 [0.364286,0.518047,0.222222,0.255452,0.403061,0.339483,0.42007,0.433213,0.552381,0.04902]
f_measure
0.26528984817658297 [0.222222,0.293289,0.216867,0.213836,0.277778,0.204444,0.36478,0.00995,0.481481,0.365248]
f_measure
0.15873493396557342 [0.009901,0.047847,0.28839,0.018182,0.214405,0.275862,0.319527,0.15942,0.178862,0.073394]
f_measure
0.3318887925950107 [0.402685,0.513433,0.327759,0.293333,0.309859,0.020202,0.448519,0.075472,0.464596,0.453608]
kappa
0.24659752600420073
kappa
0.1863122604512188
kappa
0.20058016310277194
kappa
0.04836205154687025
kappa
0.32790786167131913
kappa
0.2159569420432817
kappa
0.11620832248279872
kappa
0.3105079971341599
kappa
0.2562470660530983
kappa
0.14592707727694007
kb_relative_information_score
614.6794768067439
kb_relative_information_score
496.39419018885195
kb_relative_information_score
515.6710407567507
kb_relative_information_score
241.13660585556192
kb_relative_information_score
759.2791154084811
kb_relative_information_score
575.77236138853
kb_relative_information_score
354.71475800794616
kb_relative_information_score
744.0629990885903
kb_relative_information_score
646.2647812270179
kb_relative_information_score
431.6475733838992
mean_absolute_error
0.14754964714121424
mean_absolute_error
0.15761208278679523
mean_absolute_error
0.1496117438646026
mean_absolute_error
0.17053106216428018
mean_absolute_error
0.13562893288912192
mean_absolute_error
0.14955579449750242
mean_absolute_error
0.16952026863405736
mean_absolute_error
0.13655743742350854
mean_absolute_error
0.14554355669628377
mean_absolute_error
0.15975957505515478
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
0.5076044744841339 [0.64557,0.446886,0.351064,0.341667,0.411458,0.597403,0.275229,0.779221,0.406542,0.833333]
precision
0.5493266925922425 [0.787879,0.175421,0.586957,0.290598,0.673077,0.741935,0.504348,1,0.452174,0.281421]
precision
0.3473179361207499 [1,0.454545,0.232628,0.105263,0.161209,0.284153,0.21028,0.125,0.5,0.4]
precision
0.47489078435417886 [0.612245,0.623188,0.510417,0.317919,0.517647,0.5,0.314229,0.666667,0.310631,0.384615]
predictive_accuracy
0.3225
predictive_accuracy
0.268
predictive_accuracy
0.281
predictive_accuracy
0.14400000000000002
predictive_accuracy
0.39549999999999996
predictive_accuracy
0.294
predictive_accuracy
0.205
predictive_accuracy
0.38
predictive_accuracy
0.331
predictive_accuracy
0.231
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
0.3225 [0.43,0.304569,0.02451,0.148515,0.38,0,0.901478,0.515,0.502463,0]
recall
0.268 [0.18,0,0.259804,0.450495,0.68,0,0.261084,0.71,0,0.126263]
recall
0.281 [0.129353,0,0.172414,0,0.01,0,0.793103,0,0.90099,0.787879]
recall
0.144 [0.41791,0,0,0.995025,0.02,0,0,0,0,0]
recall
0.3955 [0.253731,0.616162,0.162562,0.20398,0.395,0.237113,0.8867,0.3,0.861386,0.025253]
recall
0.294 [0.129353,0.893939,0.133005,0.169154,0.175,0.118557,0.285714,0.005,0.514851,0.520202]
recall
0.205 [0.004975,0.025253,0.37931,0.00995,0.32,0.268041,0.665025,0.22,0.108911,0.040404]
recall
0.38 [0.3,0.436548,0.241379,0.272277,0.221106,0.010309,0.783251,0.04,0.921182,0.552764]
recall
0.331 [0.32,0.385787,0.142857,0.534653,0.08,0.020619,0.310345,0,0.866995,0.636364]
recall
0.231 [0.78,0,0.246305,0,0.79,0.505155,0,0,0,0]
relative_absolute_error
0.8197403354970584
relative_absolute_error
0.8756441247086428
relative_absolute_error
0.8311955319782949
relative_absolute_error
0.9474138601288593
relative_absolute_error
0.7535092388614477
relative_absolute_error
0.8308822496690936
relative_absolute_error
0.9417982274804263
relative_absolute_error
0.7586686280365142
relative_absolute_error
0.8085929828864478
relative_absolute_error
0.8875725883770254
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
0.29314705144485953
root_mean_squared_error
0.3070449931896844
root_mean_squared_error
0.3235757589142923
root_mean_squared_error
0.390615019164815
root_mean_squared_error
0.2766926871222138
root_mean_squared_error
0.3080954524731792
root_mean_squared_error
0.2977527597264241
root_mean_squared_error
0.27740346451742587
root_mean_squared_error
0.2867578009793268
root_mean_squared_error
0.33228708228747256
root_relative_squared_error
0.9771701399910413
root_relative_squared_error
1.0234972431068383
root_relative_squared_error
1.0785990183301246
root_relative_squared_error
1.3020621126891305
root_relative_squared_error
0.9223174918626732
root_relative_squared_error
1.026994345007193
root_relative_squared_error
0.9925183834900748
root_relative_squared_error
0.9246879014020561
root_relative_squared_error
0.955869827281621
root_relative_squared_error
1.107635763941915
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
170000
usercpu_time_millis
172703.125
usercpu_time_millis
175250
usercpu_time_millis
173656.25
usercpu_time_millis
171843.75
usercpu_time_millis
172140.625
usercpu_time_millis
171296.875
usercpu_time_millis
170625
usercpu_time_millis
172218.75
usercpu_time_millis
176625
usercpu_time_millis_testing
5734.375
usercpu_time_millis_testing
4656.25
usercpu_time_millis_testing
5265.625
usercpu_time_millis_testing
5578.125
usercpu_time_millis_testing
5625
usercpu_time_millis_testing
5703.125
usercpu_time_millis_testing
6031.25
usercpu_time_millis_testing
6125
usercpu_time_millis_testing
6828.125
usercpu_time_millis_testing
6437.5
usercpu_time_millis_training
164265.625
usercpu_time_millis_training
168046.875
usercpu_time_millis_training
169984.375
usercpu_time_millis_training
168078.125
usercpu_time_millis_training
166218.75
usercpu_time_millis_training
166437.5
usercpu_time_millis_training
165265.625
usercpu_time_millis_training
164500
usercpu_time_millis_training
165390.625
usercpu_time_millis_training
170187.5