dotnet / dotnet/machinelearning-samples

The Accuracy of the Forecasting Sales Project is not up to the mark...

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Description

I am just testing **Forecasting-Sales** project. I have reduced the csv file to just one product (product 11) having four years data of 2015,2016,2017,2018 ...(In the Image below data of year 2017 and 2018 is displayed )

![P11csv](https://user-images.githubusercontent.com/7997380/78775741-27f82400-79b0-11ea-9f32-40cb1745437a.png)

From the data, the **predicted value of units** for the month 11 and 12 of 2018 would be 51 and 52 respectively.

**OutPut:** However the output from the Regression Model for the month 11 and 12 is 50.33 and 49.90 is somewhat acceptable but the output from the TimeSeries for the month 11 and 12 is 40.33 and 40.65 is just irritating ...
![SalesForecasting p11](https://user-images.githubusercontent.com/7997380/78776500-63472280-79b1-11ea-80f8-7735cff6d35f.png)

I then predicted the value of the same for the next few consecutive months (2,3,4,5 for year 2019) which came to be almost equal...Which is not right I think?

![Forecasting Sales of consecutive months](https://user-images.githubusercontent.com/7997380/79037121-cf12d080-7be7-11ea-8a7a-812d01f8423c.png)

Q1: If anybody can guide what I am missing ?
Q2 If anybody can tell what is the meaning of "Updated Prediction" in the output image.
Q3 If anybody can refer to the TimeSeries prediction example of worthy output

Plz help.

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