Classification and Regression with the BigML Dashboard

4.3 Creating Logistic Regressions with 1-click

To create a logistic regression in BigML you have two options: either the 1-click option which uses the default values for all available configuration options, or you can tune the parameters in advanced by using the configuration options explained in section 4.4 . This section explains how to create a logistic regression with 1-click.

From the dataset view, select the 1-click logistic regression option in the 1-click action menu. (See Figure 4.10 .)

\includegraphics[]{images/logisticregression/lr-oneclick}
Figure 4.10 Create 1-click logistic regression from dataset 1-click action menu

Alternatively, you can use the 1-click logistic regression option in the pop up menu from the dataset list view. (See Figure 4.11 .)

\includegraphics[]{images/logisticregression/lr-oneclick-popup}
Figure 4.11 Create 1-click logistic regression from dataset popup menu

Either option builds a logistic regression using the default values for all available configuration options. (See section 4.4 .)

Note: for some datasets, the 1-click option may be disabled. This can be due to the fact that your dataset does not contain any categorical field or the field taken as the default Objective Field is not categorical. If you do not specify any objective field BigML takes the last valid field in your dataset as the objective field by default. To change the objective field, either configure your logistic regression or select the objective field from your dataset (both options are explained in subsection 4.4.1 .)