Get difference tree result when converting cat_features to numerical values

[ccylance]

catboost version: catboost 1.2
Operating System: macos 14.4.1
CPU: M1
GPU: no

I have the train_data with X = ['C', 'C', 'C', 'C', 'C', 'A', 'C', 'B', 'C', 'B', 'C', 'B', 'A', 'C', 'A', 'A', 'B', 'A', 'A', 'B'] and y=[0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1]. I put the data into the model and get

(Prior set 0.55 here because in CatBoostEncoder, prior set as the mean value of y)
After that, I used CatBoostEncoder in sklearn and convert the cat_feature into the numerical

I got catf=[8.25, 4.125, 2.75, 5.8125, 4.65, 8.25, 3.875, 8.25, 3.32142857, 11.625, 2.90625, 12.75, 11.625, 4.25, 12.75, 13.3125, 13.3125, 10.65 , 8.875, 10.65]. (multiply 15 here because the scale value in model1 is 15)
And then feed the data into model but get difference result, does there exist any extra process when deal with the category during training?

[andrey-khropov]

(multiply 15 here because the scale value in model1 is 15)

Why? What does the model scale have to do with it?

[andrey-khropov]

P.S. Please, insert code as text so it will be searchable and code examples can be copy-pasted.