Now that we have split the data, we will train the model. This experiment uses a two-class logistic regression algorithm (https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-logistic-regression) to build the data model.
We feed the training data and the algorithm to the Train Model item.
If we click on the Two-Class Logistic Regression item, we should see the parameters that can be configured in the right-hand pane:
As data scientists, our role is to understand the dataset and prediction model, and then based on that, we define the settings, as illustrated in the previous screenshot.
Have a ...
