Introduction
Ensemble modeling is a powerful way to improve the performance of your
machine learning models. If you wish to be on the top of leaderboard in
any machine learning competition or want to improve models you are
working on – ensemble is the way to go. The meme below kind of
summarizes the power of ensembling:
Given the importance of ensemble
modeling, we decided to test our community on ensemble modeling. The
test included basics of ensemble modeling and its practical
applications.
A total of 1411 participants registered
for the skill test. If you missed taking the test, here is your
opportunity for you to find out how many questions you could have
answered correctly.
Overall Results
Below is the distribution of scores, this will help you evaluate your performance:
You can access your performance here.
More than 230 people participated in the skill test and the highest
score was 31. Here are a few statistics about the distribution.
Overall distribution
Mean Score: 17.54
Median Score: 18
Mode Score: 21
Helpful Resources
5 Easy questions on Ensemble Modeling everyone should know
Powerful ‘Trick’ to choose right models in Ensemble Learning
Basics of Ensemble Learning Explained in Simple English
Powerful ‘Trick’ to choose right models in Ensemble Learning
链接：
https://www.analyticsvidhya.com/blog/2017/02/40-questions-to-ask-a-data-scientist-on-ensemble-modeling-techniques-skilltest-solution/
原文链接：
http://weibo.com/1402400261/EvnnJ0xvf?ref=collection&type=comment#_rnd1487062691148
