Consider the situation where you want to decide if a dot belongs in Class_1 (Iris-setosa) or Class_2 (Iris-versicolor), or Class_3 (Iris-virginica). Assigning a class to a data point is called classification task in machine learning terms.
In the left chart, the dots are the data points. The color of the dots represents the class of the data point. In this example, our task is to classify the data points into one of the three classes. Now, let's click the red button to project the data points on the Y axis. In the current chart, dots are projected on the sepal-length axis, which is Y axis. Can we find points on the Y axis that separate the dots into three classes? What about the X axis? Can we find points on the X axis that separate the dots into three classes? Each of the sepal-length and petal-length can be used to classify the data points into the three classes.
Can we do better classify the data points into the three classes using only both of the two features? Let's move to the next page.
