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10595104

Run 10595104

Task 362070 (Supervised Classification) IndoorScenes Uploaded 13-06-2024 by Taniya D
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  • openml-python tensorflow_2.15.0.
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tensorflow.keras.src.engine.functional.Functional.44afdc78(1)Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer226_block7a_bn{"build_config": {"input_shape": [null, 4, 4, 1152]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block7a_dwconv", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_bn", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer227_block7a_activation{"build_config": {"input_shape": [null, 4, 4, 1152]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "block7a_activation", "trainable": true}, "inbound_nodes": [[["block7a_bn", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_activation", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer228_block7a_se_squeeze{"build_config": {"input_shape": [null, 4, 4, 1152]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "block7a_se_squeeze", "trainable": true}, "inbound_nodes": [[["block7a_activation", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_se_squeeze", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer229_block7a_se_reshape{"build_config": {"input_shape": [null, 1152]}, "class_name": "Reshape", "config": {"dtype": "float32", "name": "block7a_se_reshape", "target_shape": [1, 1, 1152], "trainable": true}, "inbound_nodes": [[["block7a_se_squeeze", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_se_reshape", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer230_block7a_se_reduce{"build_config": {"input_shape": [null, 1, 1, 1152]}, "class_name": "Conv2D", "config": "swish", "inbound_nodes": [[["block7a_se_reshape", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_se_reduce", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer231_block7a_se_expand{"build_config": {"input_shape": [null, 1, 1, 48]}, "class_name": "Conv2D", "config": "sigmoid", "inbound_nodes": [[["block7a_se_reduce", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_se_expand", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer232_block7a_se_excite{"build_config": {"input_shape": [[null, 4, 4, 1152], [null, 1, 1, 1152]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "block7a_se_excite", "trainable": true}, "inbound_nodes": [[["block7a_activation", 0, 0, {}], ["block7a_se_expand", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_se_excite", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer233_block7a_project_conv{"build_config": {"input_shape": [null, 4, 4, 1152]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block7a_se_excite", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_project_conv", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer234_block7a_project_bn{"build_config": {"input_shape": [null, 4, 4, 320]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["block7a_project_conv", 0, 0, {}]]], "module": "keras.layers", "name": "block7a_project_bn", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer235_top_conv{"build_config": {"input_shape": [null, 4, 4, 320]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["block7a_project_bn", 0, 0, {}]]], "module": "keras.layers", "name": "top_conv", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer236_top_bn{"build_config": {"input_shape": [null, 4, 4, 1280]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["top_conv", 0, 0, {}]]], "module": "keras.layers", "name": "top_bn", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer237_top_activation{"build_config": {"input_shape": [null, 4, 4, 1280]}, "class_name": "Activation", "config": {"activation": "swish", "dtype": "float32", "name": "top_activation", "trainable": true}, "inbound_nodes": [[["top_bn", 0, 0, {}]]], "module": "keras.layers", "name": "top_activation", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer238_global_average_pooling2d{"build_config": {"input_shape": [null, 4, 4, 1280]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d", "trainable": true}, "inbound_nodes": [[["top_activation", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_layer239_dense{"build_config": {"input_shape": [null, 1280]}, "class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "dense", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["global_average_pooling2d", 0, 0, {}]]], "module": "keras.layers", "name": "dense", "registered_name": null}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_optimizer{"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "clipnorm": null, "clipvalue": null, "ema_momentum": 0.99, "ema_overwrite_frequency": null, "epsilon": 1e-07, "global_clipnorm": null, "is_legacy_optimizer": false, "jit_compile": true, "learning_rate": 0.00039999998989515007, "name": "Adam", "use_ema": false, "weight_decay": null}}}
tensorflow.keras.src.engine.functional.Functional.44afdc78(1)_tensorflow_version"2.15.0"

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

onnx
Onnx model

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

0.4992 ± 0.0105
Per class
Cross-validation details (3-fold Crossvalidation)
0.014 ± 0.0022
Per class
Cross-validation details (3-fold Crossvalidation)
0.0032 ± 0.0014
Cross-validation details (3-fold Crossvalidation)
0.0487 ± 0.001
Cross-validation details (3-fold Crossvalidation)
0.0294 ± 0
Cross-validation details (3-fold Crossvalidation)
0.0292 ± 0
Cross-validation details (3-fold Crossvalidation)
0.0167 ± 0.0032
Cross-validation details (3-fold Crossvalidation)
15620
Per class
Cross-validation details (3-fold Crossvalidation)
0.0284 ± 0.0091
Per class
Cross-validation details (3-fold Crossvalidation)
0.0167 ± 0.0032
Cross-validation details (3-fold Crossvalidation)
5.7539 ± 0.0007
Cross-validation details (3-fold Crossvalidation)
1.0082 ± 0.0007
Cross-validation details (3-fold Crossvalidation)
0.1208 ± 0
Cross-validation details (3-fold Crossvalidation)
0.122 ± 0.0003
Cross-validation details (3-fold Crossvalidation)
1.0098 ± 0.0027
Cross-validation details (3-fold Crossvalidation)
0.0161 ± 0.0034
Cross-validation details (3-fold Crossvalidation)