sklearn adjusted r2
from sklearn.metrics import r2_score
R2 = r2_score(actual, predicted)
Adj_r2 = 1-(1-R2)*(n-1)/(n-p-1)
# here
# n = number of observation, p = number of features
sklearn adjusted r2
from sklearn.metrics import r2_score
R2 = r2_score(actual, predicted)
Adj_r2 = 1-(1-R2)*(n-1)/(n-p-1)
# here
# n = number of observation, p = number of features
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