Application of Inductive Confidence Machine to ICMLA Competition Data

In this work we apply a new technique called conformal prediction to the Functional Clustering of Gene Expression Profiles in Human Cancers Challenge. The method not only allows us to make predictions but also include measures of accuracy and reliability of the prediction. These measures are provably valid under i. i. d. assumption. Using this approach it becomes possible to control the number of errors by selecting a suitable confidence level. This paper describes the application of the method to gene expression for various types of cancer.