Calculate Classification Accuracy | Dataford Interview Questions

Given two arrays of equal length, y_true and y_pred, return the classification accuracy as a floating-point value. Accuracy is defined as the number of matching labels divided by the total number of labels. If the input arrays have different lengths or are empty, return 0.0.

Constraints

0 <= len(y_true), len(y_pred) <= 10^5
Labels may be integers or strings
Return 0.0 if the arrays are empty or have different lengths

Function Signature

def calculate_accuracy(y_true, y_pred):

Your question is Calculate Classification Accuracy. 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

Constraints

0 <= len(y_true), len(y_pred) <= 10^5
Labels may be integers or strings
Return 0.0 if the arrays are empty or have different lengths

Function Signature

def calculate_accuracy(y_true, y_pred):

Your question is Calculate Classification Accuracy. 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.