Predict multiple value based on another value
legeithien
New Altair Community Member
Hello guys,
so, i had this data which represents the contents of soil in x-depth and the data only has limited depth. i tried to make model based on contents of soil in x-depth which going to predict those contents of soil arent shown on the depth. e.g contents of soil in 3 m depths and make this data to predict contents of soil in 5m depth
i tried using impute missing values operator to estimate those missing values of contents and using naive bayes, k-NN. i was going to use at least 3 predictions but every time i tried it kept getting errors, so im only using those two for now.
my question is, is it correct? or is there any methods that i could tried to achieve better results?
Thanks in advance!
so, i had this data which represents the contents of soil in x-depth and the data only has limited depth. i tried to make model based on contents of soil in x-depth which going to predict those contents of soil arent shown on the depth. e.g contents of soil in 3 m depths and make this data to predict contents of soil in 5m depth
i tried using impute missing values operator to estimate those missing values of contents and using naive bayes, k-NN. i was going to use at least 3 predictions but every time i tried it kept getting errors, so im only using those two for now.
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my question is, is it correct? or is there any methods that i could tried to achieve better results?
Thanks in advance!
0
Answers
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please.. anyone?
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I think you should consider to treat this as a time series problem, only that your 'time' is depth.Best,Martin0
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@mschmitz
will try to do that and give the feedback, thanks for responding it
edit: after i look further into it, i dont think it was a suitable method for my data because my data has a time series of "depth" but i need to look for the content of soil on that depth which the depth doesnt have to be a series. what i was looking for is how do i predict the content of that depth
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