Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [rms]

RMS stands for 'root-mean-square' is a measure of the typical size of a varying quantity. It occurs in the n-denominator form of standard deviation (the RMS deviation from the mean)

RMS stands for 'root-mean-square' is a measure of the size of a varying quantity. It is a kind of power-mean, generalized mean, and Fréchet mean.

It occurs in the n-denominator form of standard deviation - the RMS deviation from the mean.

In statistics, the term most commonly occurs in the phrase "root mean square error" (with the common acronym "RMSE")

Please do not use this tag in questions about the rms package for R (for Regression Modeling Strategies).

329 questions
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How big a difference for test/train RMSE is considered as overfit?

I read that when: RMSE of test > RMSE of train => OVER FITTING of the data. RMSE of test < RMSE of train => UNDER FITTING of the data. Is there a actually delta threshold that determine if the model is over fit or under fit? It's almost impossible…
user3782604
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Using a combined RMSE?

I have 12 soil water sensors with a few years of actual soil water samples that have been retrieved from near each of the sensors. We have found that individually regressing the data from each sensor vs the soil samples performs better than when…
Dave Robertson
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Average of root mean square error

Is taking the average of different rmse valid? for example average rmse = (rmse1+rmse2+rmse3)/3 Thank you for your help!
angelo
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What is the difference between RMSE and SEP

I would like to understand the difference between Root Mean Squared Error and the Standard Prediction Error. The SEP formula is simillar to the RMSE, but with an aditional term called bias inside the root squared. Is expected to give similar values…
Tiago Dias
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Summarizing a set of root-mean-squared error values

From simulation studies, I have repeated (1000) measures of the root-mean-squared-error (deviation) between a sample of observed values and the predicted value. The obtained RMSE values are, naturally enough, all slightly different. The samples…
CrimsonDark
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I need help to compute the RMSE of lasso model

I was following this other example on how to find lasso regression in r . The image posted below is the image of the codes. I need help with find the RMSE
Edmond
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Fitting simulated data using RMSE

Can you use the root mean squared error formula to compare the quality of fit between simulated data and a model?
stars83clouds
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Equivalence in model performance metric like RMSE

I calculated the root mean squared error (RMSE) to compare the simulated values of a hydrologic model with the corresponding observations for three observational datasets.The number of data points in these datasets are 30, 40, and 60. How to find…
user3816627
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How to explain RMSE to business folks and in a simple and easy way

If a model predicting 'days to payment etc.' has an RMSE of 25 days and MAE of 20 days. How to explain RMSE of 25 days easily to them, just like the MAE of 20 days (which is average prediction error) I have looked at various posts, but with no luck.…
tjt
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rmse value meaning

rmse = sqrt(mean_squared_error(y_val,y_pre)) print('Val RMSE: %.3f' % rmse) Val RMSE: 1.825 I got this value for RMSE value but not sure what this number means
slowmonk
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