perf_accuracy: Compute accuracy of algorithms
In EBlonkowski/timeseries:
Description
Usage
Arguments
Value
Description
Compute accuracy of algorithms
Usage
1
perf_accuracy(actual, predicted)
Arguments
actual
A vector of actual values. Can contain NAs
predicted
A data.frame of predicted values. Each column
being one forecast. This is especially usefull for forecasting algorithm
which have different forecasting accuracy according to their iterated power.
Value
Returns a data.frame with 2 columns: r2 and MAPE and 1 row for each
column in predicted
EBlonkowski/timeseries documentation built on May 6, 2019, 2:57 p.m.
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Description Usage Arguments Value
Description
Compute accuracy of algorithms
Usage
1 | perf_accuracy(actual, predicted)
|
Arguments
actual |
A vector of actual values. Can contain NAs |
predicted |
A data.frame of predicted values. Each column being one forecast. This is especially usefull for forecasting algorithm which have different forecasting accuracy according to their iterated power. |
Value
Returns a data.frame with 2 columns: r2 and MAPE and 1 row for each column in predicted
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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