Added the results of Xception without shuffling for ETRA

config.py

@@ -42,7 +42,7 @@ Cluster can be set to clustering(), clustering2() or clustering3(), where differ
 """
 
 # Choosing model
-config['model'] = 'eegnet'
+config['model'] = 'xception'
 config['downsampled'] = False
 config['split'] = False
 config['cluster'] = clustering()

results/ETRA/xception_ensemble/batches.log

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results/ETRA/xception_ensemble/info.log

+INFO:root:Started the Logging
+INFO:root:X training loaded.
+INFO:root:(129, 500, 36223)
+INFO:root:y training loaded.
+INFO:root:(1, 36223)
+INFO:root:Setting the shapes
+INFO:root:(36223, 500, 129)
+INFO:root:(36223, 1)
+INFO:root:Started running xception. If you want to run other methods please choose another model in the config.py file.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 18
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 40
+INFO:root:--------------- nb filters   : 64
+INFO:root:--------------- preprocessing: False
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0461s vs `on_train_batch_end` time: 0.1208s). Check your callbacks.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 18
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 40
+INFO:root:--------------- nb filters   : 64
+INFO:root:--------------- preprocessing: False
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0418s vs `on_train_batch_end` time: 0.1218s). Check your callbacks.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 18
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 40
+INFO:root:--------------- nb filters   : 64
+INFO:root:--------------- preprocessing: False
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0607s vs `on_train_batch_end` time: 0.1246s). Check your callbacks.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 18
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 40
+INFO:root:--------------- nb filters   : 64
+INFO:root:--------------- preprocessing: False
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0480s vs `on_train_batch_end` time: 0.1153s). Check your callbacks.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 18
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 40
+INFO:root:--------------- nb filters   : 64
+INFO:root:--------------- preprocessing: False
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0433s vs `on_train_batch_end` time: 0.1280s). Check your callbacks.
+INFO:root:**********
+
+INFO:root:--- Runtime: 21200.742160081863 seconds ---
+INFO:root:Finished Logging

results/ETRA/xception_ensemble/xception_ensemble_df_best_model.csv

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