Classification Problems
Understand what classification problems are and the data generation and data preparation process involved in it.
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Introduction to classification problems
We will now switch to handling different classes of problems known as classification problems. In a classification problem, we are trying to predict which class a data point belongs to.
Let us say we have two classes of points; they are either red or blue. These are the labels (y) of the points. Sure enough, we need to assign numeric values to them. We could assign zero to red and one to blue. The class associated with zero is the negative class, while one corresponds to the positive class.
In a nutshell, for binary classification, we have:
| Color | Value | Class |
|---|---|---|
| Red | 0 | Negative |
| Blue | 1 | Positive |
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