9204018 2506 Irfan Nur Afif 167133 Supervised Classification area_under_roc_curve 8601 keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,ZeroPadding2D,Conv2D,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,Conv2D,BatchNormalization,Add,Activation,Conv2D,BatchNormalization,Activation,Conv2D,BatchNormalization,Add,Activation,AveragePooling2D,Flatten,Dense)(2) 7133567 batch_size 32 8601 build_fn {"oml-python:serialized_object": "function", "value": "__main__.resnet20v1"} 8601 epochs 3 8601 layer0 {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"} 8601 layer1 {"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "reshape_1"} 8601 layer10 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["add_1", 0, 0, {}]]], "name": "activation_2"} 8601 layer11 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_4"} 8601 layer12 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_3", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_4", 0, 0, {}]]], "name": "batch_normalization_3"} 8601 layer13 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]], "name": "activation_3"} 8601 layer14 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "conv2d_5"} 8601 layer15 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_4", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "batch_normalization_4"} 8601 layer16 {"class_name": "Add", "config": {"name": "add_2", "trainable": true}, "inbound_nodes": [[["activation_2", 0, 0, {}], ["batch_normalization_4", 0, 0, {}]]], "name": "add_2"} 8601 layer17 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["add_2", 0, 0, {}]]], "name": "activation_4"} 8601 layer18 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_6", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_6"} 8601 layer19 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_5", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}]]], "name": "batch_normalization_5"} 8601 layer2 {"class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "name": "zero_padding2d_1", "padding": [[2, 2], [2, 2]], "trainable": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "zero_padding2d_1"} 8601 layer20 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]], "name": "activation_5"} 8601 layer21 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_7"} 8601 layer22 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_8"} 8601 layer23 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_6", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_7", 0, 0, {}]]], "name": "batch_normalization_6"} 8601 layer24 {"class_name": "Add", "config": {"name": "add_3", "trainable": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}], ["batch_normalization_6", 0, 0, {}]]], "name": "add_3"} 8601 layer25 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["add_3", 0, 0, {}]]], "name": "activation_6"} 8601 layer26 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_9"} 8601 layer27 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_7", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}]]], "name": "batch_normalization_7"} 8601 layer28 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]], "name": "activation_7"} 8601 layer29 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "conv2d_10"} 8601 layer3 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["zero_padding2d_1", 0, 0, {}]]], "name": "conv2d_1"} 8601 layer30 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_8", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_10", 0, 0, {}]]], "name": "batch_normalization_8"} 8601 layer31 {"class_name": "Add", "config": {"name": "add_4", "trainable": true}, "inbound_nodes": [[["activation_6", 0, 0, {}], ["batch_normalization_8", 0, 0, {}]]], "name": "add_4"} 8601 layer32 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["add_4", 0, 0, {}]]], "name": "activation_8"} 8601 layer33 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_11", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_11"} 8601 layer34 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_9", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "batch_normalization_9"} 8601 layer35 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_9", "trainable": true}, "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]], "name": "activation_9"} 8601 layer36 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_9", 0, 0, {}]]], "name": "conv2d_12"} 8601 layer37 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [1, 1], "name": "conv2d_13", "padding": "same", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "conv2d_13"} 8601 layer38 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_10", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}]]], "name": "batch_normalization_10"} 8601 layer39 {"class_name": "Add", "config": {"name": "add_5", "trainable": true}, "inbound_nodes": [[["conv2d_13", 0, 0, {}], ["batch_normalization_10", 0, 0, {}]]], "name": "add_5"} 8601 layer4 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "conv2d_2"} 8601 layer40 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_10", "trainable": true}, "inbound_nodes": [[["add_5", 0, 0, {}]]], "name": "activation_10"} 8601 layer41 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_10", 0, 0, {}]]], "name": "conv2d_14"} 8601 layer42 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_11", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "batch_normalization_11"} 8601 layer43 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_11", "trainable": true}, "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]], "name": "activation_11"} 8601 layer44 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_11", 0, 0, {}]]], "name": "conv2d_15"} 8601 layer45 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_12", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}]]], "name": "batch_normalization_12"} 8601 layer46 {"class_name": "Add", "config": {"name": "add_6", "trainable": true}, "inbound_nodes": [[["activation_10", 0, 0, {}], ["batch_normalization_12", 0, 0, {}]]], "name": "add_6"} 8601 layer47 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_12", "trainable": true}, "inbound_nodes": [[["add_6", 0, 0, {}]]], "name": "activation_12"} 8601 layer48 {"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "valid", "pool_size": [8, 8], "strides": [8, 8], "trainable": true}, "inbound_nodes": [[["activation_12", 0, 0, {}]]], "name": "average_pooling2d_1"} 8601 layer49 {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"} 8601 layer5 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "batch_normalization_1"} 8601 layer50 {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"} 8601 layer6 {"class_name": "Activation", "config": {"activation": "relu", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "activation_1"} 8601 layer7 {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "normal", "mode": "fan_in", "scale": 2.0, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_3"} 8601 layer8 {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_2", "scale": true, "trainable": true}, "inbound_nodes": [[["conv2d_3", 0, 0, {}]]], "name": "batch_normalization_2"} 8601 layer9 {"class_name": "Add", "config": {"name": "add_1", "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}], ["batch_normalization_2", 0, 0, {}]]], "name": "add_1"} 8601 verbose 2 8601 openml-python Sklearn_0.19.1. 40926 CIFAR_10_small https://www.openml.org/data/download/16797612/cifar-10-small.arff -1 19334731 description https://api.openml.org/data/download/19334731/description.xml -1 19334732 predictions https://api.openml.org/data/download/19334732/predictions.arff area_under_roc_curve 0.6735721934501018 [0.681798,0.71687,0.632783,0.656715,0.68432,0.68006,0.67119,0.650449,0.697576,0.665168] average_cost 0 f_measure 0.30839144082387737 [0.402129,0.386235,0.251709,0.183778,0.248394,0.273238,0.362811,0.298625,0.382208,0.294466] kappa 0.23261093844857228 kb_relative_information_score 5775.145353786174 mean_absolute_error 0.14928268110695386 mean_prior_absolute_error 0.17999608295848674 number_of_instances 20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981] precision 0.3417764598471182 [0.390508,0.349161,0.341484,0.21457,0.203314,0.345154,0.352368,0.22206,0.574257,0.423697] predictive_accuracy 0.30935 prior_entropy 3.3217862890565693 recall 0.30935 [0.414464,0.432118,0.199311,0.160714,0.31916,0.226123,0.373892,0.455772,0.28642,0.225644] relative_absolute_error 0.8293662764949365 root_mean_prior_squared_error 0.299996734149702 root_mean_squared_error 0.3204665569091185 root_relative_squared_error 1.0682334853325495 total_cost 0 area_under_roc_curve 0.8812474092908363 [0.918433,0.920522,0.827553,0.788332,0.866508,0.837417,0.912673,0.901325,0.927435,0.912482] area_under_roc_curve 0.49986049245236325 [0.498889,0.5,0.499722,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5838460400374236 [0.392089,0.839937,0.684532,0.725886,0.722569,0.630527,0.700289,0.45257,0.383154,0.308574] area_under_roc_curve 0.8585071122694792 [0.870094,0.891652,0.795477,0.77532,0.834828,0.820975,0.882566,0.886661,0.927865,0.899497] area_under_roc_curve 0.8500628516215676 [0.867635,0.895402,0.777777,0.776697,0.817286,0.849873,0.865084,0.847689,0.914594,0.889929] area_under_roc_curve 0.8578256169830479 [0.894646,0.909088,0.795017,0.806114,0.834344,0.839887,0.877245,0.854853,0.880808,0.887017] area_under_roc_curve 0.49926995786720235 [0.498888,0.500154,0.498609,0.504419,0.504444,0.498893,0.509733,0.500278,0.486038,0.491121] area_under_roc_curve 0.8753645492529449 [0.898219,0.908421,0.804499,0.817473,0.832539,0.855094,0.911075,0.898228,0.933178,0.89493] area_under_roc_curve 0.8721435624028793 [0.898253,0.908356,0.841866,0.781994,0.842625,0.830312,0.900702,0.892792,0.913441,0.911081] area_under_roc_curve 0.8422161471715377 [0.885428,0.900758,0.794924,0.777085,0.821542,0.82803,0.88983,0.812053,0.896036,0.816511] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.40947603206497696 [0.536313,0.489552,0.173913,0.230986,0.43254,0.370927,0.253165,0.4832,0.607143,0.523894] f_measure 0.36668259892813115 [0.474138,0.383764,0.369069,0.122449,0.409938,0.355191,0.485207,0.422535,0.510386,0.129032] f_measure 0.27897404099987183 [0.44697,0.486364,0.298592,0.046729,0.081818,0.282443,0.323993,0.165939,0.233333,0.427027] f_measure 0.43406100503182005 [0.467692,0.51711,0.302469,0.300836,0.439614,0.401786,0.503401,0.483951,0.537037,0.386503] f_measure 0.3781602558654827 [0.548057,0.155963,0.324841,0.037559,0.376176,0.394477,0.503448,0.403712,0.584112,0.45] f_measure 0.3224795378773152 [0.412987,0.521186,0.404682,0.121951,0.187755,0.286667,0.493913,0.307054,0.444444,0.039604] f_measure 0.2779532652930632 [0.462312,0.406863,0.055046,0.222222,0.116071,0.127273,0.492754,0.381609,0.225806,0.288557] kappa 0.37248560395900504 kappa 0 kappa 0.09861051060132343 kappa 0.3209481386643906 kappa 0.24392926624725128 kappa 0.38010624290225814 kappa 0 kappa 0.344058522643172 kappa 0.30251350789576936 kappa 0.26354240546156066 kb_relative_information_score 856.9479402154533 kb_relative_information_score 117.65783103440974 kb_relative_information_score 329.4481770011686 kb_relative_information_score 720.0735295033721 kb_relative_information_score 658.1913464522597 kb_relative_information_score 782.7091302116422 kb_relative_information_score 117.58444284774265 kb_relative_information_score 789.9727179488863 kb_relative_information_score 730.6206969281222 kb_relative_information_score 671.9395416429631 mean_absolute_error 0.12897078536004614 mean_absolute_error 0.17999999999999405 mean_absolute_error 0.16430269740425585 mean_absolute_error 0.1413129525337841 mean_absolute_error 0.14435278090908638 mean_absolute_error 0.1398017430172374 mean_absolute_error 0.17999999999626065 mean_absolute_error 0.1336347104733996 mean_absolute_error 0.13847443189535405 mean_absolute_error 0.14197670948011637 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999584707646074 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.17999615692153823 mean_prior_absolute_error 0.17999606696651574 mean_prior_absolute_error 0.17999606696651574 number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [201,197,203,202,200,193,203,201,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [200,197,203,202,199,194,203,200,203,199] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] precision 0.5242550372419751 [0.607595,0.594203,0.769231,0.267974,0.358553,0.359223,0.882353,0.355294,0.62963,0.40327] precision 0.4759260191920955 [0.418251,0.712329,0.286885,0.340909,0.349823,0.377907,0.607407,0.294118,0.637037,0.736842] precision 0.4572700494422036 [0.360856,0.442149,0.348684,0.384615,0.45,0.544118,0.197018,0.655172,0.736842,0.459302] precision 0.44979921123611954 [0.612903,0.414634,0.404959,0.341772,0.425234,0.354331,0.466387,0.478049,0.504348,0.492188] precision 0.5081062501250303 [0.463668,0.809524,0.459459,0.363636,0.5,0.319489,0.83908,0.26284,0.555556,0.503106] precision 0.5094172607766445 [0.278947,0.447273,0.306329,0.340909,0.511111,0.40566,0.38172,0.902439,0.527027,1] precision 0.4119294942307112 [0.347607,0.268174,0.4,0.372093,0.541667,0.538462,0.389685,0.353191,0.622222,0.284314] predictive_accuracy 0.435 predictive_accuracy 0.1 predictive_accuracy 0.1885 predictive_accuracy 0.389 predictive_accuracy 0.32 predictive_accuracy 0.442 predictive_accuracy 0.1 predictive_accuracy 0.40950000000000003 predictive_accuracy 0.3725 predictive_accuracy 0.337 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 recall 0.435 [0.48,0.416244,0.098039,0.20297,0.545,0.38342,0.147783,0.755,0.586207,0.747475] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.1885 [0,0.862944,0,0.782178,0.17,0.07772,0,0,0,0] recall 0.389 [0.547264,0.262626,0.517241,0.074627,0.495,0.335052,0.403941,0.75,0.425743,0.070707] recall 0.32 [0.587065,0.540404,0.261084,0.024876,0.045,0.190722,0.91133,0.095,0.138614,0.39899] recall 0.442 [0.378109,0.686869,0.241379,0.268657,0.455,0.463918,0.546798,0.49,0.574257,0.318182] recall 0.1 [0,0,0,0,0,0,0,1,0,0] recall 0.4095 [0.67,0.086294,0.251232,0.019802,0.301508,0.515464,0.359606,0.87,0.615764,0.407035] recall 0.3725 [0.795,0.624365,0.596059,0.074257,0.115,0.221649,0.699507,0.185,0.384236,0.020202] recall 0.337 [0.69,0.84264,0.029557,0.158416,0.065,0.072165,0.669951,0.415,0.137931,0.292929] relative_absolute_error 0.7165219091251381 relative_absolute_error 1.0000244883557596 relative_absolute_error 0.9128138236126162 relative_absolute_error 0.7850877614147754 relative_absolute_error 0.8019760367742519 relative_absolute_error 0.7766919839923859 relative_absolute_error 1.0000201292088855 relative_absolute_error 0.7424309094090938 relative_absolute_error 0.7693192091864658 relative_absolute_error 0.7887767320300837 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.2999963410084025 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.299996857422719 root_mean_prior_squared_error 0.29999670749607354 root_mean_prior_squared_error 0.29999670749607354 root_mean_squared_error 0.2655830177440009 root_mean_squared_error 0.4242640687119215 root_mean_squared_error 0.36372424683459037 root_mean_squared_error 0.27376800777275256 root_mean_squared_error 0.28989861910624454 root_mean_squared_error 0.2639343504476699 root_mean_squared_error 0.42426406682633344 root_mean_squared_error 0.27369619860010413 root_mean_squared_error 0.27993089490991463 root_mean_squared_error 0.2867683519556878 root_relative_squared_error 0.8852887769091677 root_relative_squared_error 1.4142328137807607 root_relative_squared_error 1.212428943673026 root_relative_squared_error 0.9125684704839254 root_relative_squared_error 0.9663376724894219 root_relative_squared_error 0.8797893094072861 root_relative_squared_error 1.4142266428237167 root_relative_squared_error 0.9123302188944094 root_relative_squared_error 0.9331132239628945 root_relative_squared_error 0.9559049975888189 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 104648.14934899998 usercpu_time_millis 104640.08992900005 usercpu_time_millis 109428.86798000001 usercpu_time_millis 118214.96690600013 usercpu_time_millis 124712.55433099998 usercpu_time_millis 130797.87580999994 usercpu_time_millis 136818.49473399995 usercpu_time_millis 143903.47441300013 usercpu_time_millis 155581.9037770002 usercpu_time_millis 156701.3630449999 usercpu_time_millis_testing 1910.095573999996 usercpu_time_millis_testing 2410.680982000031 usercpu_time_millis_testing 3341.874013999984 usercpu_time_millis_testing 5267.224169000087 usercpu_time_millis_testing 6237.604711000017 usercpu_time_millis_testing 6748.778847999915 usercpu_time_millis_testing 9060.208869000007 usercpu_time_millis_testing 9426.98905500015 usercpu_time_millis_testing 11698.366130000068 usercpu_time_millis_testing 11314.727611999842 usercpu_time_millis_training 102738.053775 usercpu_time_millis_training 102229.40894700002 usercpu_time_millis_training 106086.99396600002 usercpu_time_millis_training 112947.74273700005 usercpu_time_millis_training 118474.94961999996 usercpu_time_millis_training 124049.09696200003 usercpu_time_millis_training 127758.28586499995 usercpu_time_millis_training 134476.48535799998 usercpu_time_millis_training 143883.53764700014 usercpu_time_millis_training 145386.63543300005