While trying out a workflow, I didn't quite get what exactly decision tree and score tool are doing for me. I wanted to understand what inputs do we put and how to interpret the results that we get through both the tools. Can anybody please help?
Hi @Rupal03 ,
The Decision tree is the model which will be trained by your train set of data. You will then "Score" your test dataset against the trained model These will be the records you're trying to predict.
You can learn more about the Decision Tree Model HERE.
You can also learn about the Score tool HERE.
I would also recommend using the Academy section of the community, there are some great resources there:
Data Science: https://community.alteryx.com/t5/Learning-Paths/Data-Science-Learning-Path/ta-p/504157#done
Predictive Grouping: https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons/label-name/Predictive...
Predictive Modelling: https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons/label-name/Predictive...
I hope this helps,
M.
Hi @mceleavey , I will go through them right away. Thanks for your help 😀