Row 56072

Row ID: 56072 | Dataset Entry | Axioma AXP Content Repository

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I'm on a binary image classification model(sigmoid activation)

train, test, val data are already in separated folders

I loaded the test data and got y\_pred and y\_true as following There seems to be an error, as

`model.evaluate(test_generator)` shows 93% accuracy

while `accuracy_score((y_pred, y_true)` shows only 61%

It seems there's some error while getting y\_true or y\_pred.

Help me.

test_datagen = ImageDataGenerator(rescale=1.0/255)

test_generator = val_test_datagen.flow_from_directory( '/content/chest_xray/test', target_size=(IMAGE_SIZE, IMAGE_SIZE), batch_size=32, class_mode='sparse' )

y_pred_probs = model.predict(test_generator)

y_pred_classes = (y_pred_probs > 0.5).astype(int) y_pred = y_pred_classes.flatten()

y_true = test_generator.classes

FieldValue
text I'm on a binary image classification model(sigmoid activation) train, test, val data are already in separated folders I loaded the test data and got y\_pred and y\_true as following There seems to be an error, as `model.evaluate(test_generator)` shows 93% accuracy while `accuracy_score((y_pred, y_true)` shows only 61% It seems there's some error while getting y\_true or y\_pred. Help me. test_datagen = ImageDataGenerator(rescale=1.0/255) test_generator = val_test_datagen.fl…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9tNVRlTVg0YmotZ2lMOXpqUmozRjZRaFJYSHpPaE5qODI2MnU5SWR6MG5hUjFIVTNiR1l3QnUyRndmVWlIeGREQzVsMHBNdXZPTDR0ZW5GZUtBeGZtRlFCR2t4dDVFS3RhSjEwQ3BMUU4tMDI4LTFLbTdyRE1IZ0ZGODF6UktQbjljUnZXdHNZNTdXVHNwNnhIMzc1ZllKSXNiWlIxNDJqTVdud0hrV281ZlpXNlAzNFdjcDZLZHJLaHVFaVZDSDJYWmM3dWdmSEVqX2R4akxEaG5MZF9NZz09

Raw Record

{
  "text": "I'm on a binary image classification model(sigmoid activation)\n\ntrain, test, val data are already in separated folders\n\nI loaded the test data and got y\\_pred and y\\_true as following  \nThere seems to be an error, as \n\n`model.evaluate(test_generator)` shows 93% accuracy\n\nwhile `accuracy_score((y_pred, y_true)` shows only 61%\n\nIt seems there's some error while getting y\\_true or y\\_pred.\n\nHelp me.  \n\n\n    test_datagen = ImageDataGenerator(rescale=1.0/255)\n\n    test_generator = val_test_datagen.flow_from_directory(\n        '/content/chest_xray/test',\n        target_size=(IMAGE_SIZE, IMAGE_SIZE),\n        batch_size=32,\n        class_mode='sparse'\n    )\n\n    y_pred_probs = model.predict(test_generator)\n\n    y_pred_classes = (y_pred_probs > 0.5).astype(int)\n    y_pred = y_pred_classes.flatten()\n\n    y_true = test_generator.classes",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1XMURZRjc1Zzk5LUhtZlJWaVVJRzlxZHFvWUFwT3pvZXdRV2NVMl9iR3MzR0QtSEZpVFVNZ0t5ZzgxZUpkVlBnZ0dPeTZzOFpYdlRoeGlFME0wV0VhR0tCVlI3aHBrX2ZuOUQ0eU02NDNDeDQ9",
  "url_encoded": "Z0FBQUFBQm5Lak9tNVRlTVg0YmotZ2lMOXpqUmozRjZRaFJYSHpPaE5qODI2MnU5SWR6MG5hUjFIVTNiR1l3QnUyRndmVWlIeGREQzVsMHBNdXZPTDR0ZW5GZUtBeGZtRlFCR2t4dDVFS3RhSjEwQ3BMUU4tMDI4LTFLbTdyRE1IZ0ZGODF6UktQbjljUnZXdHNZNTdXVHNwNnhIMzc1ZllKSXNiWlIxNDJqTVdud0hrV281ZlpXNlAzNFdjcDZLZHJLaHVFaVZDSDJYWmM3dWdmSEVqX2R4akxEaG5MZF9NZz09"
}
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