siegstedt / predict_blood_donation

This project works with data collected from the donor database of Blood Transfusion Service Center in Hsin-Chu City in Taiwan. The center passes its blood transfusion service bus to one university in Hsin-Chu City to gather blood donated about every three months. The dataset, obtained from the UCI Machine Learning Repository, consists of a random sample of 748 donors. The task is to predict if a blood donor will donate within a given time window. The work contains a full model-building process: from inspecting the dataset to using the tpot library to automate your Machine Learning pipeline.

Hello 🤗

I'm Siggi. Wonderful meeting you here on my page. 😊

• 🌏 I was born somewhere in Siberia. And grew up in Bavaria.
• 📚 Studied Economics & Business Administrations.
• 🧑‍🚀 Worked in Innovation Management and Data Science.
• 🚀 I'm running a Consulting company for Software Engineering & Transformation.
• ❤️ And, I love my family, tinkering, and empowering people.

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predict_blood_donation's Issues

TPOT not out putting Logistic Regression

Hi, I was working on this dataset from UCI and following exactly this pattern of analysis, however, TPOT does not output LogisticRegression as the best model and instead outputs MultinomialNB (even though it gives a lower score when using exactly these parameters). Any idea as to why this might be happening? Did you face any similar problems while undertaking this method?