# Log-odd is the Logit intercept log_odd = -0.473288 print(f"log_odd = -0.473288 ") # Calculation odds -> compute e-function on the logit using exp() “de-logarithimize” odds = np.exp(log_odd) print(f'odds = {odds} Round:{round(odds, 2)}') # To convert from odds to a probability, divide the odds by one plus the odds. prob = odds / (1 + odds) print(f'prob = {prob} Round:{round(prob, 2)}')
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