What will happen if I concatenate one-hot-encoded categorical features along with continuous numerical features?

Here is one row from my data:

H  7.042 5.781 5.399  -9.118   5.488  7.470


The first column is a categorical class. The rest of them are continuous numerical features.

I encoded the classes using one-hot-encoding labels and concatenated them with the numerical features list:

    1   0  1  7.042 5.781 5.399  -9.118   5.488  7.470


Then I used this list for training.

Am I achieving anything really useful here?

• when you say 'features' do you refer specifically to continuous values as opposed to one hot encoded ones? Feb 24 at 8:01
• @EdoardoGuerriero, Yes. see the edit. Feb 24 at 8:41