Problems in using Simple Regressione Learner/Predictor
Hello,
maybe someone can help me with my problem. In an industrial farm 10 lines produce an certain amount of finished goods and a certain amount of defective products. The defects are categorized in about 20 types. I have collected for each month in 2024 the total amount of good products and the amount of products with defects. Here is an example for August 24
I trained a Simple Regression Tree Learner and then I used a Simple Regression Tree Predictor with this data
The problemi is that the amount output of the predictor do not depends on the previous table and the result is always the same no matter the values in the second table. Where is the mistake?