Mean Squared Error

README.md

A comparison of the Mean Squared Error algorithm in C, Python, and JavaScript.

C

gcc mse.c -O3 -o mse -lm
time ./mse

348.172699

real	0m0.002s
user	0m0.000s
sys	0m0.000s

Python

time python mse.py

348.1727

real	0m0.034s
user	0m0.028s
sys	0m0.004s

JavaScript

time node mse.js

348.1727

real	0m0.041s
user	0m0.040s
sys	0m0.004s

mse.c

#include <stdio.h>
#include <math.h>

float mse(float a[], float b[], int size) {
	float error = 0;
	for (int i = 0; i < size; i++) {
		error += pow((b[i] - a[i]), 2);
	}
	return error / size;
}

int main() {
	
	float a[] = {1.0, 2.9, 2.8};
	float b[] = {-19.8, -18.2, -10.11};
 	printf("%f\n", mse(a, b, 3));	
}

mse.js

function mse(a, b) {
	let error = 0
	for (let i = 0; i < a.length; i++) {
		error += Math.pow((b[i] - a[i]), 2)
	}
	return error / a.length
}

a = [1.0, 2.9, 2.8]
b = [-19.8, -18.2, -10.11]

console.log(mse(a, b))

mse.py

def mse(a, b):
	error = 0.0
	for i in range(len(a)):
		error += (b[i] - a[i]) ** 2
	return error / len(a)
	
a = [1.0, 2.9, 2.8]
b = [-19.8, -18.2, -10.11]

print(mse(a, b))