Implement mean squared error
EasyProblem Description
Given two lists of predictions and targets (same length), compute the mean squared error: (1/n) * sum((pred[i] - target[i])^2).
Input: Two lines. First: space-separated predictions. Second: space-separated targets.
Output: One number (MSE), rounded to 4 decimal places.
Example:
- Input:
1 2 3and1 2 4 - Output:
0.3333(only last element differs: (3-4)^2 = 1, mean = 1/3)
Input & Output Format
INPUT:
Two lines. First line: space-separated numbers for vector a.
Second line: space-separated numbers for vector b.
Second line: space-separated numbers for vector b.
OUTPUT:
A single number (the dot product).
Example
Input:
1 2 3
4 5 6
4 5 6
Output:
32
Explanation: 1×4 + 2×5 + 3×6 = 4 + 10 + 18 = 32
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Output
Run or submit to see output.