The Dark Side of Predictive Analytics
As a scientist, you're probably no stranger to making predictions about the world around you.
But beware: predictions can be a slippery slope, and the pitfall-ridden path that lies ahead is full of surprises.
Here are just a few of the many pitfalls that come with the territory:
1. The Overfitting Overlord
A model that's too good at its job may be a model that's too good at fitting the noise, rather than the signal.
Read more2. The Selection Bias Snake Pit
When you're only looking at a subset of data, you're only getting part of the story – and that's a recipe for disaster.
Slither into the details3. The Data Snooping Scandal
You can't make predictions if you don't have the data – but if you do have the data, be prepared for snooping and snooping.
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