Java Programming and Writing report

This work is to build a machine learning system to categorise one of the UCI digit tasks. You should develop the system on your own from scratch. You should then run a two-fold test, and report your results. The data is from the University of California at Irvine's Machine Learning Repository. The link is http://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of_Handwritten+Digits This gives you two data sets, training set and a test set. I've converted them to two data sets data set 1 , and data set 2 that should be used by your system. You should write all of your code. The code should be written in Java, and should run in the lab from eclipse. You should write a brief (1-2 page) report on your system. This should describe the algorithm you used, and why you chose this algorithm. It should also show the results of a two fold test using the provided data; a brief discussion of data usage would be useful. The code should be well commented and structured. Selection of a good algorithm is also important. Simple algorithms may be effective, but a relatively complex algorithm. This should include the base line reported on UCI website is nearest neighbor using Euclidean distance. The Java code should include a scanner function.