HIGHLIGHTS
- who: Xiangrui Zeng from the School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia have published the Article: Length of Stay Prediction Model of Indoor Patients Based on Light Gradient Boosting Machine, in the Journal: Computational Intelligence and Neuroscience 11 of 30/08/2022
- what: In the study, five ML algorithms (LR, RR, RFR, XGBR, and LightGBM) and six feature encoding methods (label encoding, count encoding, one-hot encoding, target encoding, leave-one-out encoding, and the proposed encoding method) were used and compared during the model building. The "Length of Stay" in the dataset . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.