25. Data Preparation

Data Preparation

Data Preprocessing

QUIZ QUESTION: :

In the lessons and projects throughout this program, you've encountered various aspects of data preparation; balanced classes, randomization, train/test splits and others. Here's a quiz to review why these steps are necessary (drag and drop the colored boxes to the appropriate location in the right-hand column).

ANSWER CHOICES:



Data Preparation Step

Purpose

To avoid having your algorithm simply classify everything as belonging to the majority class.

To avoid problems due to ordering of the data

To avoid individual features or sets of features dominating the response of your classifier

To estimate generalization of the model to new data

SOLUTION:

Data Preparation Step

Purpose

To avoid having your algorithm simply classify everything as belonging to the majority class.

To avoid problems due to ordering of the data

To avoid individual features or sets of features dominating the response of your classifier

To estimate generalization of the model to new data