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Do you prefer good data or good models? Why?

Created: Feb 21, 2022 17:09:20Latest reply: Feb 22, 2022 05:57:54 326 4 1 0 0
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Do you prefer good data or good models? Why?


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olive.zhao
Admin Created Feb 22, 2022 00:50:46

Hello, friend!

In my personal opinion, data is as important as models. Data is the basis and models are the methods. A model without data is an empty shelf, and data without a model is invalid. Only when the two work together can they have a key impact on the company, on decision-making, and on analysis.

Hope this helps!

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Gustavo.HdezF
Gustavo.HdezF Admin Created Feb 21, 2022 17:11:06

Hello User. we are reviewing your question and we will answer you shortly. Thanks.
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faysalji
faysalji Author Created Feb 21, 2022 17:50:30

   Good data is definitely more important than good models
   If quality of the data wasn’t of importance, organizations wouldn’t spend so much time cleaning and preprocessing it!
   Even for scientific purpose: good data (reflected by the design of experiments) is very important

How do you define good?
– good data: data relevant regarding the project/task to be handled
– good model: model relevant regarding the project/task
– good model: a model that generalizes on external data sets
Is there a universal good model?
– No, otherwise there wouldn’t be the overfitting problem!
– Algorithm can be universal but not the model
– Model built on a specific data set in a specific organization could be ineffective in other data set of the same organization
– Models have to be updated on a somewhat regular basis
Are there any models that are definitely not so good?
– “all models are wrong but some are useful” George E.P. Box
– It depends on what you want: predictive models or explanatory power
– If both are bad: bad model

Source:

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olive.zhao
olive.zhao Admin Created Feb 22, 2022 00:50:46

Hello, friend!

In my personal opinion, data is as important as models. Data is the basis and models are the methods. A model without data is an empty shelf, and data without a model is invalid. Only when the two work together can they have a key impact on the company, on decision-making, and on analysis.

Hope this helps!

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user_4147187
user_4147187 MVE Created Feb 22, 2022 05:57:54

Hello, friend!
I think it should be like this: "Good data is better than good features, good features are better than good algorithms." When applied to machine learning, this sentence has another form of expression:'Data and features determine the upper bound of machine learning, and models are only approaching it continuously'.
I hope I can help you. Do you prefer good data or good models? Why?-4704279-1
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