Predictive metrics used in xgboost classification models for Kenya and Tanzania.

Models performance metrics.

chidi-godwin/Classification-using-XGBoost

The objective is to create a machine learning model to predict which individuals are most likely to

The performance metrics for various ML models.

Predictive Modeling of Undergraduate Academic Performance Using XGBoost and Implications for Educational Policy in Nigeria

Aim of the Study: Previous studies have paid little attention on the study that investigates the app

An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors

In Kenya, reports of Rift Valley fever (RVF), one of the worst climate-sensitive zoonosis, have been

Hyperparameters used for our models.