A k-Nearest Neighbours Ensemble via Optimal Model Selection for
Regression // Optimal k Nearest Neighbours Ensemble is an
ensemble of base k nearest neighbour models each constructed on
a bootstrap sample with a random subset of features. k closest
observations are identified for a test point "x" (say), in each
base k nearest neighbour model to fit a stepwise regression to
predict the output value of "x". The final predicted value of
"x" is the mean of estimates given by all the models. The
implemented model takes training and test datasets and trains
the model on training data to predict the test data. Ali, A.,
Hamraz, M., Kumam, P., Khan, D.M., Khalil, U., Sulaiman, M. and
Khan, Z. (2020) DOI:10.1109/ACCESS.2020.3010099.