ML project: How to get yield for the "testing_submission.csv" dataset

[shakir-sust]

Hi,

I have completed all the steps and finished training models using XGboost and random forest. However, I am unsure how to get the yield for the "testing_submission.csv" dataset based on the trained models.

I will really appreciate it if anyone can share how they are approaching to solve this problem.

Thanks.

[shakir-sust]

Hi @leombastos @AmrinderJakhar98, I trained the XGboost and Random Forest models using the daily weather data (summarised per month) from Daymet (just like the way we did in the class). However, the Daymet does not have any weather data available for the year 2024 (https://daymet.ornl.gov/single-pixel/). It is my understanding that I need to do feature engineering of the weather variables on the "testing_submission.csv" just like I did on my training set in order to yield predictions for the year 2024. But since weather data for 2024 seems not to be available on Daymet, please help me on how do I get predictions for 2024. Thanks in advance.

[leombastos]

@shakir-sust the yield column of the test set should come from your model prediction.

Daymet has data available to the most recent date.
You should use the code we learned in class.