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Questions - mean-square-error

How to interpret large Mean Absolute/Squared Error in a regression model on sklearn

I am new to ML and trying understand evaluation metrics for regression. I found Mean Absoulute Error, Mean Squared Error and R2 Score are commonly used for regression. I have the following y_true and ...
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Nahid

regression

metrics

mean-square-error

Votes: 0

Answers: 1

Latest Answer

In case of mean absolute and squared error, the score results will be large since it is making the difference between the mean of normal outputs and predicted outputs For example, mean absolute error ...
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nzabakira floris

R calculate mean square for all sub groups in a subset

how do I calculate the mean square of all 2019_Preston_STD,2019_Preston_V1,2019_Preston_V2 etc using the Value column, then the adjmth1, adjmth3 columns structure(list(IDX = c("2019_Preston_STD&q...
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R.Merritt

r

mean-square-error

Votes: 0

Answers: 1

Latest Answer

This task can be done in many ways, as shown in the link that @r2evans pointed out. My favorite one is dplyr using summarize(across() because to me its syntax is easy to understand and easy to apply t...
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Abdur Rohman

Why doesn't mean square error work in case of angular data?

Suppose, the following is a dataset for solving a regression problem: H -9.118 5.488 5.166 4.852 5.164 4.943 8.103 -9.152 7.470 6.452 6.069 6.197 6.434 8.264 9.047 2.222 ...
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user366312

python

neural-network

radians

mean-square-error

Votes: 0

Answers: 3

Latest Answer

Data that represent angles like 180 degrees, causes problems with most loss functions because they are not meant for radiants. MSE calculates a huge error between 0 and 359 although 0=360. It simply d...
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emely_pi

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