Row 35523
Content Data
This page contains data entry 35523 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Assuming you mean mean absolute error, 2.0748 may not be high at all. MAE is not a metric that can be interpreted at face value as it just means that each prediction in a regression task is off by 2.0748. If you are predicting something like how many wheels a vehicle needs, this is very bad, (as most vehicles have 2 or 4), but if you are predicting how much a car will cost, being 2 dollars off on average is very incredible. What type of y values do you have?
| Field | Value |
|---|---|
| text | Assuming you mean mean absolute error, 2.0748 may not be high at all. MAE is not a metric that can be interpreted at face value as it just means that each prediction in a regression task is off by 2.0748. If you are predicting something like how many wheels a vehicle needs, this is very bad, (as most vehicles have 2 or 4), but if you are predicting how much a car will cost, being 2 dollars off on average is very incredible. What type of y values do you have? |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1KM1EtVVRfSnItaVAydmF6WE9oSFp6QllnVkt5azgxWEJPekZ3Vk9Pd25fclR5eVE1MENOeHpjNS1LYU8ybGNFZWVmdjc3bVktcVVnTlAwbTZTODF6Uk1XVl9zVWFDb0hzcnlLZlpsclhWSVU9 |
| url_encoded | Z0FBQUFBQm5Lak9ZNG5lNkl3SG9tTEFobW9WLWdGN2g3RUlnZ2t5QXZRV3FjS2QyeEFGalQ3dUhCTTRmdlJ4RTZ0eUU0YXFqMU56UFhCZ1NpdHl2WXJ5TGdqWmtzSHU2cFdmdXotMlQ3YjJLZTlTeUFrdW9IQlRZRnQ0LUpNcWMydzJ6TGRlOG0xUkw2M0tZZjVzeUZvS0hHYVNnaWhSWVR2OFRueFI1aEZKblBmMU5QTHdMaXdsc2lHVHFwZnJKZC1kVjZFVndhZzBD |
Raw Record
{
"text": "Assuming you mean mean absolute error, 2.0748 may not be high at all. MAE is not a metric that can be interpreted at face value as it just means that each prediction in a regression task is off by 2.0748. If you are predicting something like how many wheels a vehicle needs, this is very bad, (as most vehicles have 2 or 4), but if you are predicting how much a car will cost, being 2 dollars off on average is very incredible. What type of y values do you have?",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1KM1EtVVRfSnItaVAydmF6WE9oSFp6QllnVkt5azgxWEJPekZ3Vk9Pd25fclR5eVE1MENOeHpjNS1LYU8ybGNFZWVmdjc3bVktcVVnTlAwbTZTODF6Uk1XVl9zVWFDb0hzcnlLZlpsclhWSVU9",
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}
Entry Information
- Entry ID: 35523
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000