Chapter 15
Avoiding Analysis Traps
In This Chapter
Examining your data
Exploring your data potential problems
Dealing with outliers and fitting data to a curve
Evaluating your technical analysis
Describing the limitations of a predictive model
In the quest for building a predictive model, you’ll need to make decisions every step of the way — and some decisions are harder than others. Informed decisions — and an awareness of the common mistakes that most analysts make while building their predictive models — give you your best shot at success.
This chapter offers insights on the issues that could arise when you embark on a journey toward the effective use of predictive analytics. At the outset, consider this general definition:
A predictive model is a system that can predict the next possible outcome, and assign a realistic probability to that outcome.
As you build your predictive model, you’re likely to run into problems in two areas — (1) the data and (2) the analysis. This chapter ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access