Custom MAPE Implementation | Dataford Interview Questions

Implement a custom function to calculate the Mean Absolute Percentage Error (MAPE) without using external machine learning libraries.

Use the formula mean(abs((actual - predicted) / actual)) * 100. Define the function as calculate_mape(actual, predicted), where both inputs are non-empty lists of numbers with equal lengths. Raise ValueError if a list is empty, lengths differ, or any actual value is zero.

Constraints

actual and predicted are non-empty lists
len(actual) == len(predicted)
1 <= len(actual) <= 10^5
All values are integers or floating-point numbers
Every value in actual is nonzero

Function Signature

def calculate_mape(actual, predicted):

Your question is Custom MAPE Implementation. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Implement a custom function to calculate the Mean Absolute Percentage Error (MAPE) without using external machine learning libraries.

Constraints

actual and predicted are non-empty lists
len(actual) == len(predicted)
1 <= len(actual) <= 10^5
All values are integers or floating-point numbers
Every value in actual is nonzero

Function Signature

def calculate_mape(actual, predicted):

Your question is Custom MAPE Implementation. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.