Prediction-of-Wild-Blueberry-Yield is one of the playground series competition that organised by Kaggle community. It always organize a variety of fairly light-weight challenges that can be used to learn and sharpen skills in different aspects of machine learning and data science.
Submissions will be evaluated using Mean Absolute Error (MAE):
where each x_i represents the predicted target, y_i represents the ground truth, and n is the number of rows in the test set.
The evaluation of each algorithms:
LADRegression was chosen for the prediction of wild blueberry yield because it had the lower MAE value from the test set.