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Ashkiiiii OP t1_is650z3 wrote

If I had more features in my dataset, will it be better then?

I have already used regression algorithms like random forest and svr. I just wanted to know if machine learning is required at all.

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juhotuho10 t1_is65s1d wrote

Ml is typically used when it's too difficult to make predictive models by hand, I think trying to make ml prediction model for this case would be harder and less accurate than just simple linear regression unless I'm missing something

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Ashkiiiii OP t1_is68b9v wrote

I'm working with a non linear data therefore traditional linear regression isn't working with capturing the trend.

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juhotuho10 t1_is691he wrote

There is other regression types like x^2 regression, logarithmic regression and more

I mean you can try to use ml, I'm just trying to save you the trouble of having to implement a model

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Ashkiiiii OP t1_is69eye wrote

I tried exponential regression. Didn't fit well.

My only question is that is predictive modeling necessary in these cases like battery lifetime prediction? Won't they be just static values when working with non rechargeable battery with no cycle life?

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juhotuho10 t1_is6cee0 wrote

There is some variation but mostly the mechanics shuts down when the battery gets below a certain voltage

If you want to predict when the voltage gets below that level, then you need the prediction model

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Ashkiiiii OP t1_is6ds64 wrote

Yes thank you so much for answering. May I DM you for further queries?

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