Incorrect transformation numerical features into categorical while preprocessing

Found an error in case [credit_scroing_problem.py](https://github.com/aimclub/FEDOT/blob/master/cases/credit_scoring/credit_scoring_problem.py). The dataset has numerical features, which each name starts from 'Number'. After [preprocessing](https://github.com/aimclub/FEDOT/blob/c1d2f33a1558c499c494069bd8006445f8b519de/fedot/core/pipelines/pipeline.py#L139) they are transform into categorical and the shape of dataset changes from `(16000, 10)` to `(16000, 38)`.