9204017 2506 Irfan Nur Afif 167133 Supervised Classification area_under_roc_curve 8601 keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,AveragePooling2D,Flatten,Dense)(2) 7133563 batch_size 128 8601 build_fn {"oml-python:serialized_object": "function", "value": "__main__.resnet20v1"} 8601 epochs 5 8601 layer0 {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"} 8601 layer1 {"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "reshape_1"} 8601 layer10 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["add_1", 0, 0, {}]]], "name": "activation_2"} 8601 layer11 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_4"} 8601 layer12 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_3", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_4", 0, 0, {}]]], "name": "batch_normalization_3"} 8601 layer13 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]], "name": "activation_3"} 8601 layer14 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "conv2d_5"} 8601 layer15 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_4", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "batch_normalization_4"} 8601 layer16 {"class_name": "Add", "config": {"name": "add_2", "trainable": true}, "inbound_nodes": [[["activation_2", 0, 0, {}], ["batch_normalization_4", 0, 0, {}]]], "name": "add_2"} 8601 layer17 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["add_2", 0, 0, {}]]], "name": "activation_4"} 8601 layer18 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_6", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_6"} 8601 layer19 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_5", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}]]], "name": "batch_normalization_5"} 8601 layer2 {"class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "name": "zero_padding2d_1", "padding": [[2, 2], [2, 2]], "trainable": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "zero_padding2d_1"} 8601 layer20 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]], "name": "activation_5"} 8601 layer21 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_7"} 8601 layer22 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_8"} 8601 layer23 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_6", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_7", 0, 0, {}]]], "name": "batch_normalization_6"} 8601 layer24 {"class_name": "Add", "config": {"name": "add_3", "trainable": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}], ["batch_normalization_6", 0, 0, {}]]], "name": "add_3"} 8601 layer25 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["add_3", 0, 0, {}]]], "name": "activation_6"} 8601 layer26 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_9"} 8601 layer27 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_7", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}]]], "name": "batch_normalization_7"} 8601 layer28 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]], "name": "activation_7"} 8601 layer29 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "conv2d_10"} 8601 layer3 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["zero_padding2d_1", 0, 0, {}]]], "name": "conv2d_1"} 8601 layer30 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_8", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_10", 0, 0, {}]]], "name": "batch_normalization_8"} 8601 layer31 {"class_name": "Add", "config": {"name": "add_4", "trainable": true}, "inbound_nodes": [[["activation_6", 0, 0, {}], ["batch_normalization_8", 0, 0, {}]]], "name": "add_4"} 8601 layer32 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["add_4", 0, 0, {}]]], "name": "activation_8"} 8601 layer33 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_11", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_11"} 8601 layer34 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_9", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "batch_normalization_9"} 8601 layer35 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_9", "trainable": true}, "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]], "name": "activation_9"} 8601 layer36 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_9", 0, 0, {}]]], "name": "conv2d_12"} 8601 layer37 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_13", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_13"} 8601 layer38 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_10", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}]]], "name": "batch_normalization_10"} 8601 layer39 {"class_name": "Add", "config": {"name": "add_5", "trainable": true}, "inbound_nodes": [[["conv2d_13", 0, 0, {}], ["batch_normalization_10", 0, 0, {}]]], "name": "add_5"} 8601 layer4 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "conv2d_2"} 8601 layer40 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_10", "trainable": true}, "inbound_nodes": [[["add_5", 0, 0, {}]]], "name": "activation_10"} 8601 layer41 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_10", 0, 0, {}]]], "name": "conv2d_14"} 8601 layer42 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_11", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "batch_normalization_11"} 8601 layer43 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_11", "trainable": true}, "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]], "name": "activation_11"} 8601 layer44 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_11", 0, 0, {}]]], "name": "conv2d_15"} 8601 layer45 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_12", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}]]], "name": "batch_normalization_12"} 8601 layer46 {"class_name": "Add", "config": {"name": "add_6", "trainable": true}, "inbound_nodes": [[["activation_10", 0, 0, {}], ["batch_normalization_12", 0, 0, {}]]], "name": "add_6"} 8601 layer47 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_12", "trainable": true}, "inbound_nodes": [[["add_6", 0, 0, {}]]], "name": "activation_12"} 8601 layer48 {"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "valid", "pool_size": [8, 8], "strides": [8, 8], "trainable": true}, "inbound_nodes": [[["activation_12", 0, 0, {}]]], "name": "average_pooling2d_1"} 8601 layer49 {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"} 8601 layer5 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "batch_normalization_1"} 8601 layer50 {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"} 8601 layer6 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "activation_1"} 8601 layer7 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_3"} 8601 layer8 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_2", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_3", 0, 0, {}]]], "name": "batch_normalization_2"} 8601 layer9 {"class_name": "Add", "config": {"name": "add_1", "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}], ["batch_normalization_2", 0, 0, {}]]], "name": "add_1"} 8601 verbose 2 8601 openml-python Sklearn_0.19.1. 40926 CIFAR_10_small https://www.openml.org/data/download/16797612/cifar-10-small.arff -1 19334728 description https://api.openml.org/data/download/19334728/description.xml -1 19334729 predictions https://api.openml.org/data/download/19334729/predictions.arff area_under_roc_curve 0.5575256108529558 [0.594215,0.571969,0.528985,0.577603,0.542453,0.512398,0.548521,0.571074,0.519247,0.608849] average_cost 0 f_measure 0.21174053757072625 [0.273165,0.241584,0.170911,0.206936,0.203824,0.121687,0.18469,0.213411,0.239179,0.26063] kappa 0.12652206947278996 kb_relative_information_score 3874.3900196231743 mean_absolute_error 0.1607914667968653 mean_prior_absolute_error 0.17999608295848674 number_of_instances 20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981] precision 0.23019612133099912 [0.3442,0.346591,0.201065,0.168007,0.180177,0.219677,0.202227,0.192524,0.192204,0.258304] predictive_accuracy 0.21414999999999998 prior_entropy 3.3217862890565693 recall 0.21415 [0.226434,0.18541,0.148622,0.269345,0.234617,0.084151,0.169951,0.23938,0.316543,0.262998] relative_absolute_error 0.8933053661726035 root_mean_prior_squared_error 0.299996734149702 root_mean_squared_error 0.3550110090105 root_relative_squared_error 1.1833829125397917 total_cost 0 area_under_roc_curve 0.7530600557811916 [0.852972,0.891816,0.751515,0.52981,0.795656,0.39964,0.718431,0.843775,0.895244,0.843003] area_under_roc_curve 0.5403456095195202 [0.328203,0.460606,0.57365,0.503133,0.52675,0.499325,0.570063,0.733539,0.875837,0.321761] area_under_roc_curve 0.6055854358326659 [0.445045,0.876533,0.737655,0.758142,0.532943,0.49606,0.504648,0.493991,0.386576,0.828277] area_under_roc_curve 0.8371891585592047 [0.882337,0.882684,0.782983,0.773113,0.709947,0.829489,0.87341,0.8407,0.920393,0.876991] area_under_roc_curve 0.5809448152955007 [0.498054,0.521931,0.499692,0.739759,0.500607,0.509119,0.815398,0.502481,0.416136,0.804734] area_under_roc_curve 0.6526666131984068 [0.734485,0.501968,0.527381,0.750696,0.775681,0.493079,0.696508,0.418724,0.836669,0.784986] area_under_roc_curve 0.6964987815606972 [0.824471,0.866548,0.504331,0.736885,0.781106,0.475406,0.836038,0.771733,0.334054,0.834435] area_under_roc_curve 0.5615916404323738 [0.819836,0.500314,0.528012,0.505826,0.501452,0.47236,0.609424,0.751456,0.496939,0.427041] area_under_roc_curve 0.6257963737546554 [0.458867,0.54355,0.492444,0.665365,0.615853,0.807814,0.704055,0.794619,0.351012,0.835259] area_under_roc_curve 0.5862529291371414 [0.851092,0.786259,0.53171,0.70897,0.54895,0.668879,0.518184,0.410567,0.347552,0.499168] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.28222026902420316 [0.497717,0.47619,0.307134,0.21978,0.038835,0.096618,0.375149,0.122066,0.498382,0.180995] kappa 0.16987739150233566 kappa 0.04595891281594266 kappa 0.13594334010964906 kappa 0.24751730765808252 kappa 0.11270532588065109 kappa 0.14666115192961596 kappa 0.11693624640699962 kappa 0.07388888888888889 kappa 0.1375064340356046 kappa 0.07810117756171664 kb_relative_information_score 508.7688241423626 kb_relative_information_score 222.66387065667476 kb_relative_information_score 422.1083631520797 kb_relative_information_score 593.715705217483 kb_relative_information_score 357.15157805443914 kb_relative_information_score 418.1041860168908 kb_relative_information_score 398.1997456476438 kb_relative_information_score 260.18580032765277 kb_relative_information_score 408.54829277386364 kb_relative_information_score 284.94365363394934 mean_absolute_error 0.15329511902442658 mean_absolute_error 0.17135023094355947 mean_absolute_error 0.15860838945118955 mean_absolute_error 0.15056565494330607 mean_absolute_error 0.16223632350925185 mean_absolute_error 0.1577738987810256 mean_absolute_error 0.16042991678128057 mean_absolute_error 0.1671243039029521 mean_absolute_error 0.16001120796459964 mean_absolute_error 0.1665196226670922 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999584707646074 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.17999615692153823 mean_prior_absolute_error 0.17999606696651574 mean_prior_absolute_error 0.17999606696651574 number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [201,197,203,202,200,193,203,201,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [200,197,203,202,199,194,203,200,203,199] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] precision 0.5662280570771695 [0.459916,0.5,0.203526,0.245399,0.666667,0.769231,0.247634,1,0.719626,0.869565] predictive_accuracy 0.2535 predictive_accuracy 0.1425 predictive_accuracy 0.2225 predictive_accuracy 0.3235 predictive_accuracy 0.20199999999999999 predictive_accuracy 0.2325 predictive_accuracy 0.205 predictive_accuracy 0.16649999999999998 predictive_accuracy 0.2225 predictive_accuracy 0.171 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 recall 0.2535 [0.02,0.274112,0.269608,0,0.785,0,0,0.14,0.921182,0.111111] recall 0.1425 [0,0,0,0,0,0,0,0.42,0.990148,0] recall 0.2225 [0,0.893401,0.591133,0.579208,0,0,0,0,0,0.161616] recall 0.3235 [0.542289,0.454545,0.625616,0.199005,0.02,0.051546,0.773399,0.065,0.381188,0.10101] recall 0.202 [0,0,0,0.437811,0,0,0.926108,0,0,0.646465] recall 0.2325 [0.333333,0,0,0.472637,0.635,0,0,0,0.871287,0] recall 0.205 [0.049751,0.121212,0,0,0.905,0,0,0.265,0,0.717172] recall 0.1665 [0.69,0,0,0,0,0,0,0.975,0,0] recall 0.2225 [0,0,0,0.044554,0,0.78866,0,0.53,0,0.893939] recall 0.171 [0.63,0.111675,0,0.960396,0,0,0,0,0,0] relative_absolute_error 0.851660405388014 relative_absolute_error 0.9519690390498886 relative_absolute_error 0.8811780495347431 relative_absolute_error 0.8364926984108517 relative_absolute_error 0.901331051119261 relative_absolute_error 0.8765393036003806 relative_absolute_error 0.8912952561773322 relative_absolute_error 0.9284881786437414 relative_absolute_error 0.8889705795314192 relative_absolute_error 0.9251292290629298 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.2999963410084025 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.299996857422719 root_mean_prior_squared_error 0.29999670749607354 root_mean_prior_squared_error 0.29999670749607354 root_mean_squared_error 0.32192942750891845 root_mean_squared_error 0.3970439020915354 root_mean_squared_error 0.34429331275686115 root_mean_squared_error 0.2880923831000783 root_mean_squared_error 0.3629643868879332 root_mean_squared_error 0.3477966278890624 root_mean_squared_error 0.3459768688448827 root_mean_squared_error 0.39780921455051654 root_mean_squared_error 0.34253007385361084 root_mean_squared_error 0.38668590008140824 root_relative_squared_error 1.0731126995670892 root_relative_squared_error 1.3234976899037758 root_relative_squared_error 1.1476583734306878 root_relative_squared_error 0.9603168300875282 root_relative_squared_error 1.2098924855288495 root_relative_squared_error 1.1593328210053093 root_relative_squared_error 1.1532669013929095 root_relative_squared_error 1.3260446058272282 root_relative_squared_error 1.1417794438897102 root_relative_squared_error 1.2889671467026662 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 55291.636348999986 usercpu_time_millis 53044.14335600001 usercpu_time_millis 58450.95833299999 usercpu_time_millis 63443.35270500005 usercpu_time_millis 65912.69103800005 usercpu_time_millis 75534.31232299999 usercpu_time_millis 77808.86340599999 usercpu_time_millis 83301.22380900002 usercpu_time_millis 88376.51955499973 usercpu_time_millis 86057.91045699995 usercpu_time_millis_testing 1274.047075999988 usercpu_time_millis_testing 1891.0405900000171 usercpu_time_millis_testing 2927.4511630000006 usercpu_time_millis_testing 3353.518257000019 usercpu_time_millis_testing 4890.686216999995 usercpu_time_millis_testing 5397.138448999954 usercpu_time_millis_testing 6452.24783499998 usercpu_time_millis_testing 7659.093408999979 usercpu_time_millis_testing 8796.62558799987 usercpu_time_millis_testing 9571.993212999814 usercpu_time_millis_training 54017.589273 usercpu_time_millis_training 51153.10276599999 usercpu_time_millis_training 55523.50716999999 usercpu_time_millis_training 60089.83444800003 usercpu_time_millis_training 61022.00482100005 usercpu_time_millis_training 70137.17387400004 usercpu_time_millis_training 71356.61557100002 usercpu_time_millis_training 75642.13040000004 usercpu_time_millis_training 79579.89396699987 usercpu_time_millis_training 76485.91724400013