
    Given n distinct student risk assessment metrics (including attendance, grades, and engagement levels), determine the number of different ways these metrics can be grouped into risk profiles for intervention planning. Each risk profile must include at least one metric, and every metric must be assigned to exactly one profile, where the order of metrics within a profile doesn't matter.
    

    
def bell_number(n):
    """
    Given n distinct student risk assessment metrics (including attendance, grades, and engagement levels), determine the number of different ways these metrics can be grouped into risk profiles for intervention planning. Each risk profile must include at least one metric, and every metric must be assigned to exactly one profile, where the order of metrics within a profile doesn't matter.
    

    """
def bell_number(n):
    """
    Given n distinct student risk assessment metrics (including attendance, grades, and engagement levels), determine the number of different ways these metrics can be grouped into risk profiles for intervention planning. Each risk profile must include at least one metric, and every metric must be assigned to exactly one profile, where the order of metrics within a profile doesn't matter.
    

    """
    bell = [[0 for i in range(n + 1)] for j in range(n + 1)]
    bell[0][0] = 1
    for i in range(1, n + 1):
        bell[i][0] = bell[i - 1][i - 1]
        for j in range(1, i + 1):
            bell[i][j] = bell[i - 1][j - 1] + bell[i][j - 1]
    return bell[n][0]