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sara20sara20 Member Posts: 110 Unicorn
edited May 2020 in Help

For one data set I need label, so I use average of rows for that, now the question is that: why with a simple label the accuracy is very low and why if I use average as an attribute then according to the average I made "UP" and "DOWN" label, the accuracy is 95%?
What is your idea about it?
Is average bring correlation for data? ( I think correlation is not good in data) so why the result is not normal?
Except average what is your suggestion in statistics?

Thank you in advance

Best Answer


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    sara20sara20 Member Posts: 110 Unicorn
    edited June 2020

    Thank you for the answer. So in this situation how can I make any label for my data? ( instead of average what is your suggestion to choose as a label?)

    Sorry the data is not mine and I can not share it.

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    Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    It's hard to say without knowing anything about the underlying data. But generally I would not create a label by combining information from multiple examples---why not use the attribute itself that you are averaging in its untransformed state as your label?
    If you want to predict a classification problem rather than a numerical value, you could also define a threshold value and then create a nominal attribute to specify whether the attribute is above or below that threshold. So, for example, if the value was a sales amount, then you could define a threshold of "high value" transaction at say $1000 and then classify individual examples as either high value or not high value based on that threshold. But you would probably want to consult with a domain expert for the data that you have to determine a threshold like that.

    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
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    sara20sara20 Member Posts: 110 Unicorn

    I had the label like the one that you mentioned and again it was useful but very similar to the average because I made an average for one  attribute and less or more than that was my label. So still it brings correlation for the data and the result of accuracy is more than 95%.

    Any way thank you for your answer
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