Following this, I saw Shanth’s kernel from the performing new features about `bureau
Function Technologies
csv` table, and i also started initially to Yahoo many things including “Just how to win an effective Kaggle competition”. All performance said that the answer to successful try function engineering. Therefore, I decided to element professional, however, since i did not truly know Python I am able to perhaps not manage it with the fork from Oliver, and so i went back so you can kxx’s password. We ability engineered certain content according to Shanth’s kernel (I hands-published away all of the groups. ) upcoming provided it toward xgboost. It got regional Cv away from 0.772, and had personal Pound away from 0.768 and private Pound out of 0.773. Therefore, my personal function technology don’t assist. Darn! At this point I was not so dependable off xgboost, thus i tried to rewrite this new password to utilize `glmnet` using library `caret`, however, I didn’t learn how to improve an error We got while using `tidyverse`, and so i eliminated. You can find my personal password because of the clicking right here.
may 27-29 I returned to Olivier’s kernel, but I came across that we didn’t simply only need to perform the imply on the historic dining tables. I could do mean, sum, and you will simple deviation. It absolutely was problematic for myself since i didn’t discover Python really better. But sooner or later may 31 I rewrote the latest code to provide such aggregations. So it had regional Curriculum vitae regarding 0.783, public Pound 0.780 and personal Pound 0.780. You will see my personal password because of the clicking right here.
The new development
I found myself about collection implementing the crowd on 31. I did so particular feature systems to help make new features. In case you don’t know, ability systems is important whenever strengthening activities as it allows the patterns and see habits smoother than just for those who merely made use of the intense has. Read more
