Measure model fit for polynomial
I am working on Boston Housing Price dataset. I am trying to determine the model fit (coefficient of determination) of a polynomial model.
X = boston_data["lstat"].values.reshape(-1, 1)
y = boston_data["medv"].values.reshape(-1, 1)
# Transform X into polynomial matrix
poly_2_x = PolynomialFeatures(degree=2).fit_transform(X)
# Fit data to model
poly_2_reg = LinearRegression().fit(poly_2_x, y)
# Calculate coefficient
poly_2_coff = poly_2_reg.score(poly_2_x, y)
However, I am stuck with the following error:
ValueError: Found input variables with inconsistent numbers of samples: [333, 6]
Is there a better way of doing this? Or what should I change to rectify the error?
Thanks!
python coefficients
asked Nov 25 '18 at 6:37
lodepaslodepas
11
add a comment |
I am working on Boston Housing Price dataset. I am trying to determine the model fit (coefficient of determination) of a polynomial model.
X = boston_data["lstat"].values.reshape(-1, 1)
y = boston_data["medv"].values.reshape(-1, 1)
# Transform X into polynomial matrix
poly_2_x = PolynomialFeatures(degree=2).fit_transform(X)
# Fit data to model
poly_2_reg = LinearRegression().fit(poly_2_x, y)
# Calculate coefficient
poly_2_coff = poly_2_reg.score(poly_2_x, y)
However, I am stuck with the following error:
ValueError: Found input variables with inconsistent numbers of samples: [333, 6]
Is there a better way of doing this? Or what should I change to rectify the error?
Thanks!
python coefficients
asked Nov 25 '18 at 6:37
lodepaslodepas
11
add a comment |
I am working on Boston Housing Price dataset. I am trying to determine the model fit (coefficient of determination) of a polynomial model.
X = boston_data["lstat"].values.reshape(-1, 1)
y = boston_data["medv"].values.reshape(-1, 1)
# Transform X into polynomial matrix
poly_2_x = PolynomialFeatures(degree=2).fit_transform(X)
# Fit data to model
poly_2_reg = LinearRegression().fit(poly_2_x, y)
# Calculate coefficient
poly_2_coff = poly_2_reg.score(poly_2_x, y)
However, I am stuck with the following error:
ValueError: Found input variables with inconsistent numbers of samples: [333, 6]
Is there a better way of doing this? Or what should I change to rectify the error?
Thanks!
python coefficients
asked Nov 25 '18 at 6:37
lodepaslodepas
11
I am working on Boston Housing Price dataset. I am trying to determine the model fit (coefficient of determination) of a polynomial model.
X = boston_data["lstat"].values.reshape(-1, 1)
y = boston_data["medv"].values.reshape(-1, 1)
# Transform X into polynomial matrix
poly_2_x = PolynomialFeatures(degree=2).fit_transform(X)
# Fit data to model
poly_2_reg = LinearRegression().fit(poly_2_x, y)
# Calculate coefficient
poly_2_coff = poly_2_reg.score(poly_2_x, y)
However, I am stuck with the following error:
ValueError: Found input variables with inconsistent numbers of samples: [333, 6]
Is there a better way of doing this? Or what should I change to rectify the error?
Thanks!
python coefficients
python coefficients
asked Nov 25 '18 at 6:37
lodepaslodepas
11
asked Nov 25 '18 at 6:37
lodepaslodepas
11
asked Nov 25 '18 at 6:37
lodepaslodepas
11
asked Nov 25 '18 at 6:37
lodepaslodepas
11
asked Nov 25 '18 at 6:37
lodepaslodepas
11
11
add a comment |
add a comment |
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