In this use case, I replicated the basics of mlr3 by training different models on the German credit dataset. Machine Learning Use Case: German Credit Data The German credit data was originally donated in 1994 by Prof. Dr. Hans Hoffman of the University of Hamburg. A description can be found at the UCI repository. The goal is to classify people by their credit risk (good or bad) using 20 personal, demographic and financial features.
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In this use case, I replicated the basics of mlr3 by training different models on the German credit dataset.
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