Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Using A Classifier’s Feature Importance Output To Approximate a Choice Model and Rank Priority of Features

Hello,

Was wondering if anybody had ever done this. I’ve searched quite a bit but haven’t come up with anything.

I have a bunch of hotel data with different features (amenities like a pool, workout room, number of rooms, a whole bunch of others) as well as a bunch of results of people who chose hotel A vs B, etc. I need to figure out which “features” played prominently in people choosing certain hotels over others. Classic customer choice.

Not sure a discrete choice model is the best for this, though I’m exploring it- but, essentially, I’m trying to figure out if I can approach this as a supervised learning problem in order to figure out which of these features figure most highly into choices of hotels.

Having looked at classifier feature importance in the past on a lot of projects (mainly xgboost) if I were able to get creative and properly vectorize lists of features in my input set between hotels, in a way that would allow me to train a classifier on the choices, I could then look at which features were most important as a measure of choice forecasting.

Assuming the data has cohesive predictive characteristics, would this approach make sense? Or is this a bastardization of how feature importance is supposed to work?

submitted by /u/SpicyBroseph
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.