Row 56092

Row ID: 56092 | 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/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9tTmlhTEt6ZFhCNFZBWEM3NUhtQ2UzQzZGMFlQOEd0UVZmd2VhdWtJZEtwOUtsQVpWM3JGVm5VX1NRUlhtbHN6Mk9IamM0YXhqRWs0NVFWSnh6TV9jMmhUU0lfTWx3ZnRqQW1XM2pKcFViaEFFRVd3a2RYWGcxUmJ4blQ2bmdacFIycWd6VGpIWVpOYndLOVNDa3cxZmZJX3RHcEVBcUx2T3FjQ3VQWFZJN3NlWVZCQXF3Y3Y4V1B0Q0IteFJjRkVzYmt1VHBVOGEwMjJEOHh1REIxekxpUT09

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\nmodel.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/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1XcTFXcGJQTGlTX3VtRUZsNXhLaDRfbG9JTU5BSFhPSUpjdG1NWVdNZUlhd1hWSlNxODJSQ1IwTDZGV285VkVHVGl4VTV0VHJGRDJzVWc2QTNRckliYWZyUVRhLVc5QnhrU19YWC1YNlBoeFE9",
  "url_encoded": "Z0FBQUFBQm5Lak9tTmlhTEt6ZFhCNFZBWEM3NUhtQ2UzQzZGMFlQOEd0UVZmd2VhdWtJZEtwOUtsQVpWM3JGVm5VX1NRUlhtbHN6Mk9IamM0YXhqRWs0NVFWSnh6TV9jMmhUU0lfTWx3ZnRqQW1XM2pKcFViaEFFRVd3a2RYWGcxUmJ4blQ2bmdacFIycWd6VGpIWVpOYndLOVNDa3cxZmZJX3RHcEVBcUx2T3FjQ3VQWFZJN3NlWVZCQXF3Y3Y4V1B0Q0IteFJjRkVzYmt1VHBVOGEwMjJEOHh1REIxekxpUT09"
}
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