  The Transductive Confidence Machine Nearest Neighbours (TCMNN) algorithm and
a supporting, simple user interface was developed. Different settings of the
TCMNN algorithms' parameters were tested on medical data sets, in addition to
the use of different Minkowski metrics and polynomial kernels. The effect of
increasing the number of nearest neighbours and marking results with
significance was also investigated. SVM implementation of the Transductive
Confidence Machine was compared with Nearest Neighbours implementation. The
application of neural networks was investigated as a useful comparison to the
transductive algorithms.
