SUBiNN: A Stacked Uni- and Bivariate Nearest Neighbors classifier

This R code contains the SUBiNN model (ModelSUBiNN.R) and experiments to compare its performance to 7 other classifiers (ModelOthers.R). The experiments were run on both simulated and benchmark datasets. All experiments are written to run on a cluster computer and therefore produce many small files of result output. Scripts to process and combine the results are also included.

Data

DataSets.R is used to retrieve datasets from packages and simulate data for experiments

Experiments

Pilot Study K

Was used to determine SUBiNN's optimal parameter K.

Simulation studies

Simulated data with a varying number of non-informative features and a varying covariance/correlation matrix is used to measure SUBiNN's robustness in feature selection.

Benchmark

22 benchmark datasets are used to measure the prediction performance on life-like data.

Results

All ProcessResults<experiment>.R scripts were used to process the raw experiment output.