# Multi Label Regression?

Hi together,

my dataset looks the following:

- numerous numeric and (poly)nomial Attributes

- set of numeric labels

For this regression problem I'd be thankful for any hints on operators that allow multiple labels. In know that I can solve this by making processes for each label, but since the number of labels is quite high, I'd prefer an operator that would cover that.

So are there any multi label regression operators except for "vector linear regression"?

Thanks

Felix

my dataset looks the following:

- numerous numeric and (poly)nomial Attributes

- set of numeric labels

For this regression problem I'd be thankful for any hints on operators that allow multiple labels. In know that I can solve this by making processes for each label, but since the number of labels is quite high, I'd prefer an operator that would cover that.

So are there any multi label regression operators except for "vector linear regression"?

Thanks

Felix

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## Answers

6Contributor I93Contributor II1) Polynominal Regression

2) Vector Linear Regression

3) Logistic Regression

For further discussion please refer to these processes adjusted to your needs.