JFoss117 | 10 years ago | on: A Quick Puzzle to Test Your Problem Solving
Yep, I'd guess this is a massive bias. The people who get it right are much more apt to report and show how smart they are
JFoss117's comments
JFoss117 | 11 years ago | on: How Airbnb uses machine learning to detect host preferences
so cool!
JFoss117 | 12 years ago | on: Build an algorithm to predict friendships, then actually use it to meet people
You write in the README that the mislabeled columns are "from our internal ratings". Can you give any more definite sense of what this means? What kind of things are these ratings based off of? What are they designed to reflect? How are they computed (roughly)?
JFoss117 | 12 years ago | on: Build an algorithm to predict friendships, then actually use it to meet people
That's true, but to have the best chance of designing a good method/analysis, I need to know what the variables in my analysis mean. Otherwise, it is tougher to make decisions about what variables it makes sense to include in a model, what sorts of transformations make sense, what sort of approaches might work best, etc.
JFoss117 | 12 years ago | on: Build an algorithm to predict friendships, then actually use it to meet people
A few questions about the data:
1. How is it collected? From a survey, or grabbed from user FB profiles?
2. What is the platinum albums variable? Maybe the number of platinum albums that the user likes on FB??
3. Why are there some "male" entries in the f_gender column, and some "female" entries in the m_gender column?
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