Row 16507

Row ID: 16507 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 16507 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

If there is some correlation, there is some predictive power. Now factor in many other variables that have some predictive power. Then factor in the dynamic interplay between some of these variables that has some predictive power.

The end result is a system that is not perfect, but has some meaningful predictive power that can be measured, just like literally every other machine learning model.

I know it’s chic to say polygraph tests are useless, or pseudoscience, but if you’ve ever taken one, you’d probably see the utility in being able to identify some percentage of people who lie (okay, maybe not the sociopaths).

FieldValue
text If there is some correlation, there is some predictive power. Now factor in many other variables that have some predictive power. Then factor in the dynamic interplay between some of these variables that has some predictive power. The end result is a system that is not perfect, but has some meaningful predictive power that can be measured, just like literally every other machine learning model. I know it’s chic to say polygraph tests are useless, or pseudoscience, but if you’ve ever taken one,…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-20
username_encoded Z0FBQUFBQm5Lakw5SksxQmgxYUl3M19EV01nNm9iRVNIck41R1drNy1FcWVwLUFmTy0zRTRCSFllQUQxd0pwR3pZUGtwaDBFbVlxZnFHQ1BUT3lBeXY5SXhhajdfWTg0RTNKTTBpYTFVTlZ3ZDNSNW11TGpmM0E9
url_encoded Z0FBQUFBQm5Lak9NNkdyVDAxRzZhamNCZVlvaXZQN0FCcHd2SEp1VzlYd25ZS0IwNnZIdXUxbGVZZVlaUDFfdkhFTUlNZmpUTWxUS3owSUhOWnJ3eVczSlU4aXhja0V0TG9UTVpTanVjanlXLVlwZWlDUjVRQ2tpWEhhYnZhTWRYakctUmxQS2hKbE8tTzc5VzhLQXVFb3Q5bThHWHNoOHNaT2ZFZEg5OWlUbGJUSVVLUlhqc1pQY3RfelFxVE9NcE9UeXlHRTY4eWV0SlVqOURUelk4T2hNTTZ3R2wtQmcyUT09

Raw Record

{
  "text": "If there is some correlation, there is some predictive power. Now factor in many other variables that have some predictive power. Then factor in the dynamic interplay between some of these variables that has some predictive power.\n\nThe end result is a system that is not perfect, but has some meaningful predictive power that can be measured, just like literally every other machine learning model.\n\nI know it’s chic to say polygraph tests are useless, or pseudoscience, but if you’ve ever taken one, you’d probably see the utility in being able to identify some percentage of people who lie (okay, maybe not the sociopaths).",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw5SksxQmgxYUl3M19EV01nNm9iRVNIck41R1drNy1FcWVwLUFmTy0zRTRCSFllQUQxd0pwR3pZUGtwaDBFbVlxZnFHQ1BUT3lBeXY5SXhhajdfWTg0RTNKTTBpYTFVTlZ3ZDNSNW11TGpmM0E9",
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}

Entry Information