Row 97413

Row ID: 97413 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 97413 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Wow, that is probably the most advanced machine learning research I have ever read. What they are doing is very interesting, and admittedly, much of the paper went way over my head. My only question/concern would be overfitting with the very specific lags. I understand why lagging the impact of factors is important and found the negative lags to be an interesting place to further research, but I would be curious to see the results when pooling multiple factors together in regard to lags. Similar factors should have similar lags and by pooling them (essentially batch uploading) you may prevent overfitting with very minor impacts on performance.

FieldValue
text Wow, that is probably the most advanced machine learning research I have ever read. What they are doing is very interesting, and admittedly, much of the paper went way over my head. My only question/concern would be overfitting with the very specific lags. I understand why lagging the impact of factors is important and found the negative lags to be an interesting place to further research, but I would be curious to see the results when pooling multiple factors together in regard to lags. Similar…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
username_encoded Z0FBQUFBQm5Lak12dWxDMW5FWEJIdDh0UktDWl93azZEWkM5aURzTGxYMWdxLXVxNkFVVmJuU1ZrekpjSzExcjNiQkdxWXRUS2Q5SHB6NEZhRG45YVpuZVRTVDc5dzhIckE9PQ==
url_encoded Z0FBQUFBQm5LalBCLXhVcE9VUFQwb0V1dlhCNW1tM1VfZFdNV1lwbGI3UTV1d20wMkVYWFB1S2c4RXdDa19WZDlBbFBwV2hrMWVjeTF5d01kWnRFWG9Ua3hMX0FqQmN5M010bm5WdjVpQWdGMU1QM1poazN2ekwzc0phYk9QTnJ6dXp2ZzgyWTZnVDJKbmpLaDduamRWcXRLclg2dU0wRG15a3A2cklGV29ManFlNHJ4SXU3aVd0Q0lDQjZCbk5JODFabHV0MEc0MnZLQllDdXFBMVc3RzJRYnp1NklOMmc1Zz09

Raw Record

{
  "text": "Wow, that is probably the most advanced machine learning research I have ever read. What they are doing is very interesting, and admittedly, much of the paper went way over my head. My only question/concern would be overfitting with the very specific lags. I understand why lagging the impact of factors is important and found the negative lags to be an interesting place to further research, but I would be curious to see the results when pooling multiple factors together in regard to lags. Similar factors should have similar lags and by pooling them (essentially batch uploading) you may prevent overfitting with very minor impacts on performance.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak12dWxDMW5FWEJIdDh0UktDWl93azZEWkM5aURzTGxYMWdxLXVxNkFVVmJuU1ZrekpjSzExcjNiQkdxWXRUS2Q5SHB6NEZhRG45YVpuZVRTVDc5dzhIckE9PQ==",
  "url_encoded": "Z0FBQUFBQm5LalBCLXhVcE9VUFQwb0V1dlhCNW1tM1VfZFdNV1lwbGI3UTV1d20wMkVYWFB1S2c4RXdDa19WZDlBbFBwV2hrMWVjeTF5d01kWnRFWG9Ua3hMX0FqQmN5M010bm5WdjVpQWdGMU1QM1poazN2ekwzc0phYk9QTnJ6dXp2ZzgyWTZnVDJKbmpLaDduamRWcXRLclg2dU0wRG15a3A2cklGV29ManFlNHJ4SXU3aVd0Q0lDQjZCbk5JODFabHV0MEc0MnZLQllDdXFBMVc3RzJRYnp1NklOMmc1Zz09"
}

Entry Information