Publication year
2019Publisher
Cham (CH) : Springer
ISBN
139783319997124
In
Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science, pp. 101-120Publication type
Part of book or chapter of book
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Editor(s)
Kubben, P.
Dumontier, M.
Dekker, A.
Organization
Radiation Oncology
Book title
Kubben, P.; Dumontier, M.; Dekker, A. (ed.), Fundamentals of Clinical Data Science
Page start
p. 101
Page end
p. 120
Subject
Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health Sciences; Radiation Oncology - Radboud University Medical CenterAbstract
In the previous chapter, you have learned how to prepare your data before you start the process of generating a predictive model. In this chapter, you will learn how to make a predictive model using very common regression techniques and how to evaluate the performance of a model. In the next chapter we will then look at more advanced machine learning techniques that have become increasingly popular in recent years.
This item appears in the following Collection(s)
- Academic publications [245050]
- Faculty of Medical Sciences [93209]
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