How To Develop Multi Output Regression Models With Python- Machine Learning

Many machine learning algorithms are designed for predicting a single numeric value, referred to simply as regression. Some algorithms do support multioutput regression inherently, such as linear regression and decision trees. There are also special workaround models that can be used to wrap and use those algorithms that do not natively support predicting multiple outputs.

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[dheerajkumark]

Thank you sir Amazing content very useful

[pawankulkarni]

Can we apply same logic with more than two dependent variables?

[mashakpatel]

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[yaminadjoudi]

How combining multi inputs frol multi datasets with tensorflow?

[sanjaykhadka]

can we use multi output regression model for multi step time series forecasting ?

[amitkumargangwar]

What if we have both numerical and categorical target variables?

[sukanthenss]

Are there any usecases where we can apply it practically

[MuhammadUmar-yoms]

hello, i m working on prediction of food based on age, gender, BMI and disease, and i have output values more than one, what should i do?

[abhisheksachan]

Hey can we did same process in the custom data sets means in place of target value can we give 2 output data base those column name whos

[shantanuneema]

No need to normalize the X & possibly the y's too?

[nithinreddy]

Is it mandatory to perform correlation for multi-output regression?

[iNSane]

Are the values of the dataset random ?

[eloknurfauziyah]

Is gradient boosting support for multioutput regression?

[saikirandavangamsreedhar]

Sir is it possible to do this for a customized dataset?

[SitiAisyah-flqq]

the description is not clear... which one data is taken by manually for test_data?

[paragsonawane]

Krish Sir,
Please reply
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[RS-fehk]

How to do multiple target Classification??

[deepankarmullick]

Hi,
I was solving a question wherein I have to predict 1 numerical & 1 categorical target label.
Is there any way of doing that?
If not then how can I understand which target label should I predict first, and should I use it in the prediction of the other target variable or not?

[mashakpatel]

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[ehsanuzzamansurid]

NameError: name 'svregressor' is not defined how to solve please help !