[PYTHON] Learning record No. 15 (19th day) Kaggle5

Learning record (19th day)

Start studying: Saturday, December 7th

Teaching materials, etc .: ・ Miyuki Oshige "Details! Python3 Introductory Note ”(Sotec, 2017): Completed on Thursday, December 19th ・ Progate Python course (5 courses in total): Ends on Saturday, December 21st ・ Andreas C. Müller, Sarah Guido "(Japanese title) Machine learning starting with Python" (O'Reilly Japan, 2017): Completed on Saturday, December 23

Kaggle Participation competition: Real or Not? NLP with Disaster Tweets 12/24 (Tue) ~

I now realize that random search and grit search are hyperparameter search methods and are not always necessary if you just learn and make predictions. If I had noticed earlier, I wouldn't have spent more than a day dealing with errors when combining these.

I experimented without combining searches.

・ Random search + xgboost: 0.7577 (at the first submit) ・ Xgboost: 0.7393 ・ Random forest: 0.7493 ・ SVC: 0.5712

You can see how bad the adjustment of random search is. I will try a little more.

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