I´m using the same data but different python libraries to calculate the coefficient of determination R^2. Using stats library and sklearn yield different results.
What is the reason behind this behavior?
# Using stats lineregress
slope, intercept, r_value, p_value, std_err = stats.linregress(x, y)
print r_value**2
0.956590054918
# Using sklearn
from sklearn.metrics import r2_score
print r2_score(x, y)
0.603933484937