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