Row 6899

Row ID: 6899 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 6899 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Another somewhat viable alternative I can think of is using store ID as predictor in individual models fit for each item. But other than fitting alternative models and comparing their performance is there a methodical way to think which model (store-item vs item vs other) would give me better performance?

FieldValue
text Another somewhat viable alternative I can think of is using store ID as predictor in individual models fit for each item. But other than fitting alternative models and comparing their performance is there a methodical way to think which model (store-item vs item vs other) would give me better performance?
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-14
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Raw Record

{
  "text": "Another somewhat viable alternative I can think of is using store ID as predictor in individual models fit for each item. But other than fitting alternative models and comparing their performance is there a methodical way to think which model (store-item vs item vs other) would give me better performance? ",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-14",
  "username_encoded": "Z0FBQUFBQm5LakwzLVhMbU5Yc3NhYnducXl4bi02d1B2MUVJRVh6REgtcVM1VlMwZ0FXUzVMZHFITXdjTXVKMklVRHJzOUs4V2d5R1Y0SExWVnAtZE1USWhkY01BcWpjY3hMMkhNUzJHN3pKNWhhVWhJRi1zUjg9",
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}

Entry Information