From 522617229ba8218ebcf64aadde4310094bd542c1 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Fri, 14 May 2021 17:53:45 -0400 Subject: [PATCH] actual/predicted --- TimeSeries/2-ARIMA/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TimeSeries/2-ARIMA/README.md b/TimeSeries/2-ARIMA/README.md index fff35250..3774d889 100644 --- a/TimeSeries/2-ARIMA/README.md +++ b/TimeSeries/2-ARIMA/README.md @@ -290,7 +290,7 @@ Check the accuracy of your model by testing its mean absolute percentage error ( > > ![MAPE](images/mape.png) > -> [MAPE](https://www.linkedin.com/pulse/what-mape-mad-msd-time-series-allameh-statistics/) is used to show prediction accuracy as a ratio defined by the above formula. The difference between Actualt and Predictedt is divided by the Actualt. "The absolute value in this calculation is summed for every forecasted point in time and divided by the number of fitted points n." [wikipedia](https://en.wikipedia.org/wiki/Mean_absolute_percentage_error) +> [MAPE](https://www.linkedin.com/pulse/what-mape-mad-msd-time-series-allameh-statistics/) is used to show prediction accuracy as a ratio defined by the above formula. The difference between actualt and predictedt is divided by the actualt. "The absolute value in this calculation is summed for every forecasted point in time and divided by the number of fitted points n." [wikipedia](https://en.wikipedia.org/wiki/Mean_absolute_percentage_error) If this equation is expressed in code: