
    Design a credit risk assessment function that calculates the weighted impact of critical risk pattern combinations in a loan application's credit scoring model. Given n risk factors in the assessment model, compute the sum of all even-indexed risk pattern groupings (represented by binomial coefficients) to determine the aggregate risk weight for the final credit score. The function should only consider even-indexed combinations as they represent the most significant risk patterns in the model.
    

    
import math

def even_binomial_Coeff_Sum(n):
    """
    Design a credit risk assessment function that calculates the weighted impact of critical risk pattern combinations in a loan application's credit scoring model. Given n risk factors in the assessment model, compute the sum of all even-indexed risk pattern groupings (represented by binomial coefficients) to determine the aggregate risk weight for the final credit score. The function should only consider even-indexed combinations as they represent the most significant risk patterns in the model.
    

    """
import math

def even_binomial_Coeff_Sum(n):
    """
    Design a credit risk assessment function that calculates the weighted impact of critical risk pattern combinations in a loan application's credit scoring model. Given n risk factors in the assessment model, compute the sum of all even-indexed risk pattern groupings (represented by binomial coefficients) to determine the aggregate risk weight for the final credit score. The function should only consider even-indexed combinations as they represent the most significant risk patterns in the model.
    

    """
    return 1 << n - 1