10559767
9186
Prabhant Singh
167124
Supervised Classification
18727
keras.engine.sequential.Sequential.54cdbc1b(2)
8276258
backend
"tensorflow"
18727
class_name
"Sequential"
18727
config
{"name": "sequential_1"}
18727
keras_version
"2.2.4"
18727
layer00_reshape_1
{"class_name": "Reshape", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "reshape_1", "target_shape": [32, 32, 3], "trainable": true}}
18727
layer01_conv2d_1
{"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "batch_input_shape": [null, 32, 32, 3], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "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": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
18727
layer02_dropout_1
{"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}}
18727
layer03_conv2d_2
{"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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
18727
layer04_conv2d_3
{"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": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}}
18727
layer05_max_pooling2d_1
{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
18727
layer06_dropout_2
{"class_name": "Dropout", "config": {"name": "dropout_2", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}}
18727
layer07_conv2d_4
{"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": "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}}
18727
layer08_max_pooling2d_2
{"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
18727
layer09_dropout_3
{"class_name": "Dropout", "config": {"name": "dropout_3", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}}
18727
layer10_flatten_1
{"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_1", "trainable": true}}
18727
layer11_dense_1
{"class_name": "Dense", "config": {"activation": "relu", "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": 1024, "use_bias": true}}
18727
layer12_dropout_4
{"class_name": "Dropout", "config": {"name": "dropout_4", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}}
18727
layer13_dense_2
{"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_2", "trainable": true, "units": 10, "use_bias": true}}
18727
optimizer
{"loss": "sparse_categorical_crossentropy", "loss_weights": null, "metrics": ["accuracy"], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "lr": 0.0010000000474974513}}, "sample_weight_mode": null, "weighted_metrics": null}
18727
Keras_2.2.4.
openml-python
40927
CIFAR_10
https://www.openml.org/data/download/16797613/cifar-10.arff
-1
22045064
description
https://api.openml.org/data/download/22045064/description.xml
-1
22045065
predictions
https://api.openml.org/data/download/22045065/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
0.058818258495363096
mean_absolute_error
0.18000000000007046
mean_prior_absolute_error
0.18000000000015356
weighted_recall
0.1 [0,0.1,0,0.1,0.1,0.2,0.1,0.3,0,0.1]
number_of_instances
60000 [6000,6000,6000,6000,6000,6000,6000,6000,6000,6000]
predictive_accuracy
0.1
prior_entropy
3.3219280948901186
relative_absolute_error
0.9999999999995383
root_mean_prior_squared_error
0.300000000000128
root_mean_squared_error
0.42426406871201156
root_relative_squared_error
1.4142135623727683
total_cost
0
unweighted_recall
0.09999999999999999 [0,0.1,0,0.1,0.1,0.2,0.1,0.3,0,0.1]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.05881825849539894
kb_relative_information_score
0.058818258495398776
kb_relative_information_score
0.058818258495399386
kb_relative_information_score
0.058818258495398776
kb_relative_information_score
0.05881825849539903
kb_relative_information_score
0.05881825849539887
kb_relative_information_score
0.058818258495399116
kb_relative_information_score
0.058818258495398776
kb_relative_information_score
0.058818258495399116
kb_relative_information_score
0.058818258495398616
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_absolute_error
0.1800000000000181
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
mean_prior_absolute_error
0.17999999999998242
weighted_recall
0.1 [0,0,0,0,1,0,0,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
weighted_recall
0.1 [0,0,0,1,0,0,0,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
weighted_recall
0.1 [0,1,0,0,0,0,0,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,1,0,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
weighted_recall
0.1 [0,0,0,0,0,1,0,0,0,0]
weighted_recall
0.1 [0,0,0,0,0,0,0,0,0,1]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
number_of_instances
6000 [600,600,600,600,600,600,600,600,600,600]
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
prior_entropy
3.32192809488706
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
relative_absolute_error
1.000000000000198
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_prior_squared_error
0.29999999999998533
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_mean_squared_error
0.4242640687119498
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
root_relative_squared_error
1.4142135623732353
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
unweighted_recall
0.1 [0,0,0,0,1,0,0,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
unweighted_recall
0.1 [0,0,0,1,0,0,0,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
unweighted_recall
0.1 [0,1,0,0,0,0,0,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,1,0,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,0,0,1,0,0]
unweighted_recall
0.1 [0,0,0,0,0,1,0,0,0,0]
unweighted_recall
0.1 [0,0,0,0,0,0,0,0,0,1]