Womxn in Big Data South Africa: Female-Headed Households in South Africa
'%3e%3cpath fill='%23001489' d='M0 0v6h9V0z'/%3e%3cpath fill='%23e03c31' d='M0 0v3h9V0z'/%3e%3cg stroke='%23fff' stroke-width='2'%3e%3cpath id='d' d='m0 0 4.5 3L0 6m4.5-3H9'/%3e%3cuse xlink:href='%23b' stroke='%23ffb81c' clip-path='url(%23c)'/%3e%3c/g%3e%3cuse xlink:href='%23d' fill='none' stroke='%23007749' stroke-width='1.2'/%3e%3c/g%3e%3c/svg%3e)
Helping South Africa
$5 000 USD
Challenge completed over 5 years ago
Prediction
1161 joined
204 active
Start
Nov 25, 19
Close
Feb 23, 20
Reveal
Feb 24, 20
Starter script for R users (LB: 3.5841)
Help · 14 Dec 2019, 02:15 · edited 1 minute later · 8
Starter Rscript for Womxn in Big Data South Africa Project
Hi guys, I just shared my Rscript in my github repository. It scored 3.584 on the LB. Although Zindi has provided Python Starter Notebook already, I couldn't find any R starter codes. So, I decided to share mine.
Please ask questions on this publicly open discussion board for the fairness in this competition, if you have any.
Yet to look at the code but well done for taking the initiative to share an R starter code.
Been struggling with installing LGBM on my laptop. Could you please share the steps to its installation. Thanks
I don't remember I have tried anything special. I think I just followed official document. such as this.
Anyway, if you can't successfuly install it, i recommend you try it on kaggle notebook.
Okay. I will follow the documentation. Thanks
after many tries, I managed to install it following these steps : https://lightgbm.readthedocs.io/en/latest/Installation-Guide.html#windows .
and may be, I'm not sure, you need to execute this as a fnal step : install.packages(file.path("C:/", "LightGBM", "R-package"), repos = NULL, type = "source")
hope it works for you :)
Thanks. Got it working now
Hi :)
I installed it and loaded succeffuly but today I got this error, ahve any idea about it ?
[LightGBM] [Fatal] Check failed: num_data > 0 at D:\a\1\s\src\io\dataset.cpp, line 30 .
Error in data$construct() :
lgb.Dataset.construct: cannot create Dataset handle
what agorithm did you use? and what feature engineering did you do please?
lightgbm without any feature engineering