9204031 2506 Irfan Nur Afif 167133 Supervised Classification area_under_roc_curve 8599 keras.wrappers.scikit_learn.KerasClassifier(InputLayer,Reshape,Conv2D,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Conv2D,Conv2D,Conv2D,Concatenate,Activation,MaxPooling2D,Conv2D,Conv2D,Conv2D,Concatenate,Activation,Dropout,Conv2D,AveragePooling2D,Flatten,Dense)(1) 7133543 batch_size 1024 8599 build_fn {"oml-python:serialized_object": "function", "value": "__main__.squeezenet"} 8599 epochs 3 8599 layer0 {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "input", "sparse": false}, "inbound_nodes": [], "name": "input"} 8599 layer1 {"class_name": "Reshape", "config": {"name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}, "inbound_nodes": [[["input", 0, 0, {}]]], "name": "reshape_1"} 8599 layer10 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_6", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_6"} 8599 layer11 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_7", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "conv2d_7"} 8599 layer12 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_2", "trainable": true}, "inbound_nodes": [[["conv2d_6", 0, 0, {}], ["conv2d_7", 0, 0, {}]]], "name": "concatenate_2"} 8599 layer13 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_2", "trainable": true}, "inbound_nodes": [[["concatenate_2", 0, 0, {}]]], "name": "activation_2"} 8599 layer14 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_8", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_2", 0, 0, {}]]], "name": "conv2d_8"} 8599 layer15 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_9"} 8599 layer16 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_8", 0, 0, {}]]], "name": "conv2d_10"} 8599 layer17 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_3", "trainable": true}, "inbound_nodes": [[["conv2d_9", 0, 0, {}], ["conv2d_10", 0, 0, {}]]], "name": "concatenate_3"} 8599 layer18 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_3", "trainable": true}, "inbound_nodes": [[["concatenate_3", 0, 0, {}]]], "name": "activation_3"} 8599 layer19 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_3", 0, 0, {}]]], "name": "max_pooling2d_2"} 8599 layer2 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 96, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "valid", "strides": [2, 2], "trainable": true, "use_bias": true}, "inbound_nodes": [[["reshape_1", 0, 0, {}]]], "name": "conv2d_1"} 8599 layer20 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_11", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]], "name": "conv2d_11"} 8599 layer21 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_12"} 8599 layer22 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_13", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_11", 0, 0, {}]]], "name": "conv2d_13"} 8599 layer23 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_4", "trainable": true}, "inbound_nodes": [[["conv2d_12", 0, 0, {}], ["conv2d_13", 0, 0, {}]]], "name": "concatenate_4"} 8599 layer24 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_4", "trainable": true}, "inbound_nodes": [[["concatenate_4", 0, 0, {}]]], "name": "activation_4"} 8599 layer25 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_4", 0, 0, {}]]], "name": "conv2d_14"} 8599 layer26 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_15", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_15"} 8599 layer27 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_16", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "name": "conv2d_16"} 8599 layer28 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_5", "trainable": true}, "inbound_nodes": [[["conv2d_15", 0, 0, {}], ["conv2d_16", 0, 0, {}]]], "name": "concatenate_5"} 8599 layer29 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_5", "trainable": true}, "inbound_nodes": [[["concatenate_5", 0, 0, {}]]], "name": "activation_5"} 8599 layer3 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "max_pooling2d_1"} 8599 layer30 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 48, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_17", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_5", 0, 0, {}]]], "name": "conv2d_17"} 8599 layer31 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_18", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_18"} 8599 layer32 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 192, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_19", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_17", 0, 0, {}]]], "name": "conv2d_19"} 8599 layer33 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_6", "trainable": true}, "inbound_nodes": [[["conv2d_18", 0, 0, {}], ["conv2d_19", 0, 0, {}]]], "name": "concatenate_6"} 8599 layer34 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_6", "trainable": true}, "inbound_nodes": [[["concatenate_6", 0, 0, {}]]], "name": "activation_6"} 8599 layer35 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_20", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_6", 0, 0, {}]]], "name": "conv2d_20"} 8599 layer36 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_21", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_21"} 8599 layer37 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_22", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_20", 0, 0, {}]]], "name": "conv2d_22"} 8599 layer38 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_7", "trainable": true}, "inbound_nodes": [[["conv2d_21", 0, 0, {}], ["conv2d_22", 0, 0, {}]]], "name": "concatenate_7"} 8599 layer39 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_7", "trainable": true}, "inbound_nodes": [[["concatenate_7", 0, 0, {}]]], "name": "activation_7"} 8599 layer4 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]], "name": "conv2d_2"} 8599 layer40 {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["activation_7", 0, 0, {}]]], "name": "max_pooling2d_3"} 8599 layer41 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_23", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["max_pooling2d_3", 0, 0, {}]]], "name": "conv2d_23"} 8599 layer42 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_24", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_24"} 8599 layer43 {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_25", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_23", 0, 0, {}]]], "name": "conv2d_25"} 8599 layer44 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_8", "trainable": true}, "inbound_nodes": [[["conv2d_24", 0, 0, {}], ["conv2d_25", 0, 0, {}]]], "name": "concatenate_8"} 8599 layer45 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_8", "trainable": true}, "inbound_nodes": [[["concatenate_8", 0, 0, {}]]], "name": "activation_8"} 8599 layer46 {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "inbound_nodes": [[["activation_8", 0, 0, {}]]], "name": "dropout_1"} 8599 layer47 {"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": 10, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_26", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["dropout_1", 0, 0, {}]]], "name": "conv2d_26"} 8599 layer48 {"class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "name": "average_pooling2d_1", "padding": "same", "pool_size": [13, 13], "strides": [1, 1], "trainable": true}, "inbound_nodes": [[["conv2d_26", 0, 0, {}]]], "name": "average_pooling2d_1"} 8599 layer49 {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}, "inbound_nodes": [[["average_pooling2d_1", 0, 0, {}]]], "name": "flatten_1"} 8599 layer5 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_3"} 8599 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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["flatten_1", 0, 0, {}]]], "name": "dense_1"} 8599 layer6 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_4", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "conv2d_4"} 8599 layer7 {"class_name": "Concatenate", "config": {"axis": 1, "name": "concatenate_1", "trainable": true}, "inbound_nodes": [[["conv2d_3", 0, 0, {}], ["conv2d_4", 0, 0, {}]]], "name": "concatenate_1"} 8599 layer8 {"class_name": "Activation", "config": {"activation": "linear", "name": "activation_1", "trainable": true}, "inbound_nodes": [[["concatenate_1", 0, 0, {}]]], "name": "activation_1"} 8599 layer9 {"class_name": "Conv2D", "config": {"activation": "relu", "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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_5", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}, "inbound_nodes": [[["activation_1", 0, 0, {}]]], "name": "conv2d_5"} 8599 verbose 2 8599 openml-python Sklearn_0.19.1. 40926 CIFAR_10_small https://www.openml.org/data/download/16797612/cifar-10-small.arff -1 19334767 description https://api.openml.org/data/download/19334767/description.xml -1 19334768 predictions https://api.openml.org/data/download/19334768/predictions.arff area_under_roc_curve 0.5241132108229889 [0.519231,0.526676,0.52389,0.512701,0.538138,0.514127,0.533496,0.503726,0.534422,0.534397] average_cost 0 kappa 0.009949804299392226 kb_relative_information_score 456.628063378841 mean_absolute_error 0.17961306211424188 mean_prior_absolute_error 0.17999608295848674 number_of_instances 20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981] predictive_accuracy 0.1097 prior_entropy 3.3217862890565693 recall 0.1097 [0.2,0,0.100886,0,0,0,0.281773,0.10045,0.261235,0.144372] relative_absolute_error 0.9978720601140348 root_mean_prior_squared_error 0.299996734149702 root_mean_squared_error 0.3006619823956264 root_relative_squared_error 1.0022175182933573 total_cost 0 area_under_roc_curve 0.6625934595641655 [0.675267,0.63469,0.638484,0.628842,0.726254,0.571776,0.730546,0.537515,0.735368,0.74311] area_under_roc_curve 0.606324673449999 [0.575631,0.663504,0.509397,0.545592,0.712958,0.552149,0.717333,0.584267,0.430622,0.775969] area_under_roc_curve 0.4954811417529227 [0.562481,0.58687,0.468056,0.527284,0.359136,0.468664,0.451977,0.451163,0.435828,0.646525] area_under_roc_curve 0.5197897736776688 [0.508458,0.543619,0.461071,0.468725,0.682731,0.479772,0.449239,0.525442,0.708134,0.3686] area_under_roc_curve 0.636849223910965 [0.714349,0.550106,0.620119,0.57517,0.681225,0.582459,0.713433,0.512186,0.729072,0.686471] area_under_roc_curve 0.6335007715993829 [0.725226,0.559987,0.589174,0.584435,0.674929,0.566437,0.739544,0.547451,0.669565,0.674422] area_under_roc_curve 0.6416943722785297 [0.552237,0.688871,0.648049,0.587181,0.70405,0.544163,0.71709,0.524574,0.677788,0.770911] area_under_roc_curve 0.6841508721570597 [0.762131,0.659037,0.654101,0.602944,0.747301,0.584917,0.744226,0.545394,0.756332,0.781855] area_under_roc_curve 0.6692587246077527 [0.670737,0.672385,0.71087,0.614237,0.696204,0.573315,0.726404,0.558928,0.721982,0.743716] area_under_roc_curve 0.603054838218148 [0.447081,0.702112,0.690966,0.55315,0.715475,0.520764,0.738505,0.476103,0.464773,0.721039] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0.0011106803848949685 kappa 0 kappa 0.06369802008014479 kappa 0.03392631644224596 kappa 0.0005606543100126151 kappa 0 kb_relative_information_score 10.418814441841349 kb_relative_information_score 5.728574758112597 kb_relative_information_score 40.90458467642915 kb_relative_information_score 19.388500754972487 kb_relative_information_score 63.9450472386871 kb_relative_information_score 12.41150948495545 kb_relative_information_score 11.25299234180846 kb_relative_information_score 109.34136395939396 kb_relative_information_score 11.285931152929606 kb_relative_information_score 171.95074456971105 mean_absolute_error 0.1799651972302497 mean_absolute_error 0.1799897918562499 mean_absolute_error 0.17998982251554968 mean_absolute_error 0.17999197157995017 mean_absolute_error 0.17943666694259983 mean_absolute_error 0.1799579102363499 mean_absolute_error 0.1798014234044997 mean_absolute_error 0.17856000593815008 mean_absolute_error 0.17993262487749978 mean_absolute_error 0.17850520656132032 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] predictive_accuracy 0.1 predictive_accuracy 0.102 predictive_accuracy 0.1015 predictive_accuracy 0.1005 predictive_accuracy 0.102 predictive_accuracy 0.1 predictive_accuracy 0.1585 predictive_accuracy 0.1315 predictive_accuracy 0.102 predictive_accuracy 0.099 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 0.1 [1,0,0,0,0,0,0,0,0,0] recall 0.102 [0,0,1,0,0,0,0,0,0,0] recall 0.1015 [0,0,0,0,0,0,1,0,0,0] recall 0.1005 [1,0,0,0,0,0,0,0,0,0] recall 0.102 [0,0,0.004926,0,0,0,0.004926,0,1,0] recall 0.1 [0,0,0,0,0,0,0,1,0,0] recall 0.1585 [0,0,0,0,0,0,0.812808,0,0.752475,0] recall 0.1315 [0,0,0,0,0,0,0,0.005,0.862069,0.437186] recall 0.102 [0,0,0,0,0,0,1,0,0,0.005051] recall 0.099 [0,0,0,0,0,0,0,0,0,1] relative_absolute_error 0.9998311349001654 relative_absolute_error 0.9999677750572883 relative_absolute_error 0.9999665294449349 relative_absolute_error 0.9999755259982392 relative_absolute_error 0.9968904381359895 relative_absolute_error 0.9997862925025233 relative_absolute_error 0.9989169037146922 relative_absolute_error 0.9920212130750425 relative_absolute_error 0.9996475362485127 relative_absolute_error 0.9917172612139755 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 0.29995696760771673 root_mean_squared_error 0.29999780076738314 root_mean_squared_error 0.3002881355566708 root_mean_squared_error 0.300054233217108 root_mean_squared_error 0.2996620668670017 root_mean_squared_error 0.29996038623421467 root_mean_squared_error 0.2996777009692428 root_mean_squared_error 0.2988845639458177 root_mean_squared_error 0.2999052507383393 root_mean_squared_error 0.30812733147010135 root_relative_squared_error 0.9998701695406754 root_relative_squared_error 1.0000062819257425 root_relative_squared_error 1.0009726603574145 root_relative_squared_error 1.0001900327829902 root_relative_squared_error 0.9988827995193108 root_relative_squared_error 0.9998772066119002 root_relative_squared_error 0.9989349136756932 root_relative_squared_error 0.9962923162380533 root_relative_squared_error 0.9996951407950521 root_relative_squared_error 1.0271023773623724 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 29809.295415999997 usercpu_time_millis 23223.431665999997 usercpu_time_millis 23628.278908 usercpu_time_millis 25353.828198000003 usercpu_time_millis 26499.132085000016 usercpu_time_millis 26287.375084000018 usercpu_time_millis 27073.465467999995 usercpu_time_millis 29173.364537999987 usercpu_time_millis 29071.89768500007 usercpu_time_millis 30033.953236999994 usercpu_time_millis_testing 1088.1273509999971 usercpu_time_millis_testing 957.2069660000011 usercpu_time_millis_testing 1104.153365000002 usercpu_time_millis_testing 1240.1823339999964 usercpu_time_millis_testing 1760.2832080000326 usercpu_time_millis_testing 1670.3007610000213 usercpu_time_millis_testing 2540.3234170000246 usercpu_time_millis_testing 3034.8130230000265 usercpu_time_millis_testing 3508.129213000018 usercpu_time_millis_testing 3912.9380250000168 usercpu_time_millis_training 28721.168065 usercpu_time_millis_training 22266.224699999995 usercpu_time_millis_training 22524.125543 usercpu_time_millis_training 24113.645864000006 usercpu_time_millis_training 24738.848876999982 usercpu_time_millis_training 24617.074322999997 usercpu_time_millis_training 24533.14205099997 usercpu_time_millis_training 26138.55151499996 usercpu_time_millis_training 25563.76847200005 usercpu_time_millis_training 26121.015211999977