Row 95795
Content Data
This page contains data entry 95795 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Interesting results! While k=1 might not be a common choice for KNN, if it's been used in a peer-reviewed paper, it's definitely worth exploring further. Can you discuss the potential limitations of using k=1 in your paper?
| Field | Value |
|---|---|
| text | Interesting results! While k=1 might not be a common choice for KNN, if it's been used in a peer-reviewed paper, it's definitely worth exploring further. Can you discuss the potential limitations of using k=1 in your paper? |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
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Raw Record
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"text": "Interesting results! While k=1 might not be a common choice for KNN, if it's been used in a peer-reviewed paper, it's definitely worth exploring further. Can you discuss the potential limitations of using k=1 in your paper?",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-25",
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}
Entry Information
- Entry ID: 95795
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000