hal3/ciml

page 33, snowboard example

Opened this issue · 0 comments

A related issue with KNN is feature scale. Suppose that we are trying to classify whether some object is a ski or a snowboard (see Figure 3.5). We are given two features about this data: the width and height. As is standard in skiing, width is measured millimeters and height is measured in centimeters. Since there are only two features, we can actually plot the entire training set; see Figure 3.6 where ski is the positive class. Based on this data, you might guess that a KNN classifier would do well. Suppose, however, that our measurement of the width was computed in millimeters (instead of centimeters).

Shouldn't the highlighted part be: "Suppose, however, that our measurement of the width was computed in centimeters (instead of millimeters)."?