CODE EXAMPLE FOR PYTHON

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