Understanding Your Code Evaluation

Scoring Criteria (800 points per question)

Code Quality

Up to 200 points

Accuracy

Up to 400 points

Efficiency

Up to 200 points

Code Evaluation and Scoring

Your Code
600 / 800 points

1function fibonacci(n) {
2  if (n <= 1) return n;
3  return fibonacci(n - 1) + fibonacci(n - 2);
4}

Line 1: Function declaration is correct

Line 2: Base case is handled correctly

Line 3: Recursive call is correct but inefficient for large inputs

Reference Solution

1function fibonacci(n) {
2  const fib = [0, 1];
3  for (let i = 2; i <= n; i++) {
4    fib[i] = fib[i - 1] + fib[i - 2];
5  }
6  return fib[n];
7}

Lines 2-5: Iterative approach with memoization improves efficiency

Overall: O(n) time complexity and O(n) space complexity

Your solution is correct but less efficient. The reference solution uses an iterative approach with memoization, which is more efficient for larger inputs.

Time Complexity: Your solution is O(2^n), while the reference solution is O(n).

Space Complexity: Your solution uses O(n) stack space due to recursion, while the reference solution uses O(n) explicit space.