Evaluate a Classification Model | Dataford Interview Questions

Write a function to evaluate the performance of a classification model.

Implement evaluate_classification(y_true, y_pred) for binary labels represented by 0 and 1. Return a dictionary containing accuracy, precision, recall, and F1 score. When a metric has a zero denominator, return 0.0 for that metric.

The two input lists have equal, nonzero length.

Constraints

1 <= len(y_true) = len(y_pred) <= 10^5
Each label is either 0 or 1
The inputs contain at least one label

Function Signature

def evaluate_classification(y_true, y_pred):

Your question is Evaluate a Classification Model. 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

Write a function to evaluate the performance of a classification model.

The two input lists have equal, nonzero length.

Constraints

1 <= len(y_true) = len(y_pred) <= 10^5
Each label is either 0 or 1
The inputs contain at least one label

Function Signature

def evaluate_classification(y_true, y_pred):

Your question is Evaluate a Classification Model. 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.