Technical materials to Enhanced Pre-season Cereal Yield Forecasting in Benin via Random Forest hyperparameter tuning.

<p>Hyperparameter tuning of the random forest model.</p>

Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function

A reliable and accurate forecasting model for crop yields is of crucial importance for efficient dec

Random Forest Regression in Maize Yield Prediction

International audience Artificial Intelligence is the discipline of making computers

Random Forest approach to forecast onset date and duration of rainy season in Tanzania

In the SADC region of Eastern Africa the onset and duration of the rainy season is of high importanc

Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks for both high-resourced and low-resourced languages. However, there is still a large performance drop for languages unseen during pre-training, espe

<p>Models performance after hyperparameter tuning.</p>