mse: calculates mean squared error from predictions vs actual for...
In helophilus/ColsTools: A variety of convenience tools and short-cuts
Description
Usage
Arguments
Details
Description
mse(predictions, actual)
Usage
1
mse(predictions, actual)
Arguments
predictions
vector of predicted values
actual
vector of actual values
Details
means squared error is simply the sum of squared differences
between predictions and actual values divided by the number of values.
helophilus/ColsTools documentation built on May 30, 2019, 4:03 p.m.
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Description Usage Arguments Details
Description
mse(predictions, actual)
Usage
1 | mse(predictions, actual)
|
Arguments
predictions |
vector of predicted values |
actual |
vector of actual values |
Details
means squared error is simply the sum of squared differences between predictions and actual values divided by the number of values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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