4 ms·
The upside of teaching decision trees first is that it allows me to spot the people that dropped out of the online course after week one right away ;) Seriousl
by drxzcl 10y ago
The upside of teaching decision trees first is that it allows me to spot the people that dropped out of the online course after week one right away ;)
Seriously, I see an amazing amount of people that deploy basic vanilla decision trees (no boosting/bagging, no particular thought about features etc) without any real thought or reason. It has become one of my main "ML smells".
- nl 10y agoHow does someone use a DT without some feature engineering? I mean - I like people who say they'd try a random forest first for a given problem because it's almost always a good answer. But yes - feature engineering is almost always the difference then.
- matchagaucho 10y agoIn m experience, 95% of DT optimization comes from pruning; not boosting/bagging.