Input Data Set Recap for Building Classification Scenarios
In a classification predictive scenario, the input data set can either be a training or an application data set.
![The classification model settings pane is open on the right side of the screen. It contains the elements discussed below. Training data source, target, influencers, and the train the model button. The classification model settings pane is open on the right side of the screen. It contains the elements discussed below. Training data source, target, influencers, and the train the model button.](/service/media/topic/ec9a4522-14a0-47e4-b53f-b749dfd14f6e/SACR21_39_en-US_media/SACR21_39_en-US_images/SACR21_Datasets.png)
Objective
After completing this lesson, you will be able to Build a classification model.
In a classification predictive scenario, the input data set can either be a training or an application data set.
You have been asked to develop a classification model that predicts the probability of customers responding to a communication campaign. Historical response data have been provided so that you can train a classification model.
In this practice exercise, you will:
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