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]