'Suppose, however, that our measurement of the width was computed in millimeters (instead of centimeters). This yields the data shown in Figure 2.7. Since the width values are now tiny, in comparison to the height values, a KNN classifier will effectively ignore the width values and classify almost purely based on height.' ...
Should the scale be opposite to what is being described. Letsay earlier width was 5 cms, but now since it is computed in milimeters, it is written as 50 mms. So width values dont become tiny at all, they expand.
Correct me if I am reading it incorrectly. ~ @ankitml on twitter.
In this following text,
'Suppose, however, that our measurement of the width was computed in millimeters (instead of centimeters). This yields the data shown in Figure 2.7. Since the width values are now tiny, in comparison to the height values, a KNN classifier will effectively ignore the width values and classify almost purely based on height.' ...
Should the scale be opposite to what is being described. Letsay earlier width was 5 cms, but now since it is computed in milimeters, it is written as 50 mms. So width values dont become tiny at all, they expand.
Correct me if I am reading it incorrectly. ~ @ankitml on twitter.