Question
更新於
2016年11月14日
- 俄語
-
英語 (美國)
有關 英語 (美國) 的問題
How do you spell it in words, for example, when you must read similar formula aloud? 用 英語 (美國) 要怎麼說?
How do you spell it in words, for example, when you must read similar formula aloud? 用 英語 (美國) 要怎麼說?
I read a book in English about statistics and I have to read some pages aloud to my English teacher, but I have no idea how to read mathimatical formulas and operations in English. MSE stands for mean squared error. It's a way to measure how well predictions of our statistical model actually match the observed data.
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2016年11月14日
最佳解答
- 阿拉伯語
- 英語 (美國) 接近流利
Im not sure but the closest i can say is: MSE equals one over n times sigma (yi minus f times (xi to the power of two))
Ps: the f could stand for frequency or fi which is f1+f2+f3+...fn
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- 葡萄牙語 (巴西)
como você soletra isso nas palavras por exemplo....
這個回答有幫到你嗎?
- 阿拉伯語
- 英語 (美國) 接近流利
Im not sure but the closest i can say is: MSE equals one over n times sigma (yi minus f times (xi to the power of two))
Ps: the f could stand for frequency or fi which is f1+f2+f3+...fn
這個回答有幫到你嗎?
- 俄語
@MoeAyman: Thanks a lot! f(xi) is a function f of the argument xi. And ^ above f means that it's our estimate of f, because we don't know a true f, we can just suppose that f is approximately equal to estimate of f.
Example at the picture: black curve - true f (usually we don't know it), dots - observations (usually it's all we have to make estimate of f), green and blue curves and an orange line are different estimates of f. The best one is blue curve, because it's closest one to true f, but green curve have the smallest MSE, so it's closest to observations (dots). There is a problem between blue and green curves, becase computer can estimate f like green curve, according to the smallest MSE. But it's not true form of function f. This problem is known in statistical learning (or machine learning) as overfitting the data.
Example at the picture: black curve - true f (usually we don't know it), dots - observations (usually it's all we have to make estimate of f), green and blue curves and an orange line are different estimates of f. The best one is blue curve, because it's closest one to true f, but green curve have the smallest MSE, so it's closest to observations (dots). There is a problem between blue and green curves, becase computer can estimate f like green curve, according to the smallest MSE. But it's not true form of function f. This problem is known in statistical learning (or machine learning) as overfitting the data.
- 阿拉伯語
- 英語 (美國) 接近流利
@Alena645: aha will i never got that advanced in statistics and only focusing on business statistics, but i hope i helped in some shape or form
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- 俄語
- 英語 (美國)
- 印尼語
A more formal way to say it:
"Mean squared error is equal to one over n times sigma for i running from 1 to n of y sub i minus f hat of x sub i squared."
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- 俄語
- 英語 (美國)
- 印尼語
@Alena645 No problem! You can always choose to say sigma, or just sum or even summation. Some people use sum or summation, though. Nonetheless, saying sigma is still correct.
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