Row 99512

Row ID: 99512 | Dataset Entry | Axioma AXP Content Repository

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nDCG still works for binary labels, it will favour a ranking where the 1's are higher in the ranking. For example for nDCG@10, if you retrieve 5 positive documents and put them at ranks 1-5, you would have a higher score than if you put them at ranks 3-8.

FieldValue
text nDCG still works for binary labels, it will favour a ranking where the 1's are higher in the ranking. For example for nDCG@10, if you retrieve 5 positive documents and put them at ranks 1-5, you would have a higher score than if you put them at ranks 3-8.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
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url_encoded Z0FBQUFBQm5LalBDRDk4ZE5saE9zcXhGeEhJbGxYcERYbS00TVNfYXFpa2JYb3JONXRwdFE2TU9uUy1SZmZjUVM2OUU3LUVGSElmM293aFprVnE1VkFpTFRBd056eUtReVhIVGxyX2lrSEx4MWd4ZjA1M0oxc3hLeXpNVmEwbk9iei1jZ0xSWWZlSEVMWmhpMmFiMnQtQWtPcDdoOGdZNmdWNDNOU3lJajFoM3NadVI5cVNDWWlCYVJOTzBZS1B6X2ZzRjFtdzNnZFFCWHNxTW1YUm1WbG8yZmpwMFdVWGQ4QT09

Raw Record

{
  "text": "nDCG still works for binary labels, it will favour a ranking where the 1's are higher in the ranking. For example for nDCG@10, if you retrieve 5 positive documents and put them at ranks 1-5, you would have a higher score than if you put them at ranks 3-8.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak14YktKOW9yYkVLSjMyOC1sbHBiZWxybGVHZWFvc1lXbDZSYUx4bE52VUkwU29hSjVaSHZjRVJxdFNBcHNrN09BeTNKaTRlbVd2anZPX2VRamlUdmVYMXc9PQ==",
  "url_encoded": "Z0FBQUFBQm5LalBDRDk4ZE5saE9zcXhGeEhJbGxYcERYbS00TVNfYXFpa2JYb3JONXRwdFE2TU9uUy1SZmZjUVM2OUU3LUVGSElmM293aFprVnE1VkFpTFRBd056eUtReVhIVGxyX2lrSEx4MWd4ZjA1M0oxc3hLeXpNVmEwbk9iei1jZ0xSWWZlSEVMWmhpMmFiMnQtQWtPcDdoOGdZNmdWNDNOU3lJajFoM3NadVI5cVNDWWlCYVJOTzBZS1B6X2ZzRjFtdzNnZFFCWHNxTW1YUm1WbG8yZmpwMFdVWGQ4QT09"
}
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