Soil Bench: A benchmark of seven machine learning algorithms to predict crop yield using soil data of Aus, Aman and Boro

Soil Bench is a benchmark of seven algorithms - Linear Regression, Lasso Regression, Ridge Regression, KNN (K-Nearest Neighbors), SVR (Support Vector Regression), Elastic Net and Random Forest - on soil data of three types of crops - Aus , Aman and Boro - using fourty four years of Bangladesh specific data.