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10. Linear Regression
10.12. Полиномиальная регрессия
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Created by
Дарья Чернова
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Cards (7)
Полиномиальная
регрессия нужна для
моделирования
нелинейных
связи между переменными, когда точки лежат на
кривой.
И когда есть
взаимодействие
признаков между собой (
синергия
)
interaction term
произведение двух
признаков
Polynomial features
состоят из
Постоянных
значений, значений, возведённых в выбранную
степень
, и произведений пар признаков
Для признаков
A
и
В
A
,
B
:
1
,
A
,
B
,
A
2
,
B
2
,
A
B
,
.
.
.
,
A
B
3
.
.
.
A, B: 1, A, B, A^2, B^2, AB, ..., AB^3...
A
,
B
:
1
,
A
,
B
,
A
2
,
B
2
,
A
B
,
...
,
A
B
3
...
Для признаков
x
1
x_1
x
1
и
x
2
x_2
x
2
x
1
,
x
2
:
1
,
x
1
,
x
2
,
x
1
2
,
x
2
2
,
x
1
x
2
x_1, x_2: 1, x_1, x_2, x_1^2, x_2^2, x_1x_2
x
1
,
x
2
:
1
,
x
1
,
x
2
,
x
1
2
,
x
2
2
,
x
1
x
2
Если
x
1
=
x_1 =
x
1
=
2
,
x
2
=
2, x_2 =
2
,
x
2
=
3
3
3
, их Polynomial
Features
равны
1, 2, 3, 6, 4, 9
Применение
Polynomial
Features
увеличивает количество признаков, но
не
гарантирует инсайты
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