July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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Regression with KNN
Now let's use KNN for a regression task. Let's use a person's height and sex to predict their weight. The following tables list our training and testing sets:
|
Height |
Sex |
Weight |
|
158 cm |
male |
64 kg |
|
170 cm |
male |
66 kg |
|
183 cm |
male |
84 kg |
|
191 cm |
male |
80 kg |
|
155 cm |
female |
49 kg |
|
163 cm |
female |
59 kg |
|
180 cm |
female |
67 kg |
|
158 cm |
female |
54 kg |
|
178 cm |
female |
77 kg |
|
Height |
Sex |
Weight |
|
168 cm |
male |
65 kg |
|
170 cm |
male |
61 kg |
|
160 cm |
female |
52 kg |
|
169 cm |
female |
67 kg |
We will instantiate and fit KNeighborsRegressor, and use it to predict weights. In this dataset, sex has already been coded as a binary-valued feature. Notice ...
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