The Anatomy of a New Problem

Different Types of Attributes and Labels Drive Modeling Choices

• numeric (inc. ordinal)
• categorical
  • no order relation
• """When the labels are numeric, the problem is called a regression problem. When the labels are categorical, the problem is called a classifi cation problem. If the categorical target takes only two values, the problem is called a binary classifica- tion problem. If it takes more than two values, the problem is called a multiclass classification problem .

Things to Notice about Your New Data Set 26

• Items to Check
  • Number of rows and columns
  • Number of categorical variables and number of unique values for each
  • Number of Missing values
  • Summary statistics for attributes and labels